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ORCIDShuai Wang 0011
王帅
Person information
- unicode name: 王帅
- affiliation: Hong Kong University of Science and Technology, Hong Kong
- affiliation (former): ETH Zurich, Switzerland
- affiliation (PhD 2018): Penn State University, University Park, PA, USA
Other persons with the same name
- Shuai Wang — disambiguation page
- Shuai Wang 0001
![[0000-0003-3164-7002]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3164-7002")
— Simula Research Laboratory, Oslo, Norway (and 1 more) - Shuai Wang 0002 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, NCMIS, Beijing, China
- Shuai Wang 0003 — Hangzhou Dianzi University, School of Cyberspace, Lishui Institute, China (and 3 more)
- Shuai Wang 0004 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 2 more)
- Shuai Wang 0005 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Shuai Wang 0006 — Nanjing University, Department of Computer Science and Technology, China (and 1 more)
- Shuai Wang 0007 — Tencent Robotics X, Shenzhen, China (and 1 more)
- Shuai Wang 0008 — Southeast University, School of Computer Science and Engineering, Nanjing, China (and 1 more)
- Shuai Wang 0009 — Sun Yat-sen University, Shenzhen, China (and 1 more)
- Shuai Wang 0010 — Ryerson University, Department of Electrical and Computer Engineering, Toronto, ON, Canada (and 1 more)
- Shuai Wang 0012 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Shuai Wang 0013 — Beijing Institute of Technology, School of Information and Electronics, China
- Shuai Wang 0014 — Vrije Universiteit Amsterdam, The Netherlands (and 2 more)
- Shuai Wang 0015 — Wuhan University, School of Resource and Environmental Science, China
- Shuai Wang 0016 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Shuai Wang 0017 — Tianjin University, Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, China
- Shuai Wang 0018 — University of Science and Technology of China, Department of Automation, Hefei, China
- Shuai Wang 0019 — Xidian University, State Key Laboratory of Integrated Service Networks, Xian, China
- Shuai Wang 0020 — University of Illinois at Chicago, Department of Computer Science, USA
- Shuai Wang 0021 — George Mason University, Department of Computer Science, Fairfax, VA, USA (and 1 more)
- Shuai Wang 0022 — SRI International, Center for Technology in Learning, Menlo Park, CA, USA (and 1 more)
- Shuai Wang 0023 — Changchun University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Shuai Wang 0024 — Shenyang Agricultural University, College of Land and Environment, China (and 2 more)
- Shuai Wang 0025 — Changchun University of Science and Technology, School of Science, China
- Shuai Wang 0026 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Shuai Wang 0027 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 1 more)
- Shuai Wang 0028 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Shuai Wang 0029 — Boston University, Division of Systems Engineering, Boston, MA, USA
- Shuai Wang 0030 — JOYY Inc, Beijing, China (and 2 more)
- Shuai Wang 0031 — China Three Gorges University, Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, Yichang, China (and 1 more)
- Shuai Wang 0032 — University of Queensland, QLD, Australia
- Shuai Wang 0033 — Singapore University of Technology and Design, Information Systems Technology and Design Pillar, Tampines, Singapore (and 2 more)
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2020 – today
- 2024
[j17]Zhaoyu Wang, Pingchuan Ma, Huaijin Wang, Shuai Wang:
PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis. Proc. ACM Program. Lang. 8(OOPSLA1): 1264-1293 (2024)- [j16]Hongyi Lu, Zhibo Liu, Shuai Wang, Fengwei Zhang:
DTD: Comprehensive and Scalable Testing for Debuggers. Proc. ACM Softw. Eng. 1(FSE): 1172-1193 (2024) - [j15]Yichen Li, Dongwei Xiao, Zhibo Liu, Qi Pang, Shuai Wang:
Metamorphic Testing of Secure Multi-party Computation (MPC) Compilers. Proc. ACM Softw. Eng. 1(FSE): 1216-1237 (2024) - [j14]Zongjie Li, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, Shuai Wang:
Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools. IEEE Trans. Dependable Secur. Comput. 21(5): 4600-4618 (2024) - [j13]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing. IEEE Trans. Software Eng. 50(5): 1040-1064 (2024) - [c69]Huaijin Wang, Zhibo Liu, Shuai Wang, Ying Wang, Qiyi Tang, Sen Nie, Shi Wu:
Are We There Yet? Filling the Gap Between Binary Similarity Analysis and Binary Software Composition Analysis. EuroS&P 2024: 506-523 - [c68]Wai Kin Wong, Huaijin Wang, Zongjie Li, Shuai Wang:
BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing. ICSE 2024: 7:1-7:13 - [c67]Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren:
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning. ICSE 2024: 30:1-30:13 - [c66]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu:
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE 2024: 74:1-74:13 - [c65]Changhua Luo, Wei Meng, Shuai Wang:
Strengthening Supply Chain Security with Fine-grained Safe Patch Identification. ICSE 2024: 89:1-89:12 - [c64]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. IPSN 2024: 283-284 - [c63]Yuanyuan Yuan, Shuai Wang, Zhendong Su:
See the Forest, not Trees: Unveiling and Escaping the Pitfalls of Error-Triggering Inputs in Neural Network Testing. ISSTA 2024: 1605-1617 - [c62]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD 2024: 2141-2152 - [c61]Qi Pang, Yuanyuan Yuan, Shuai Wang:
MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models. NDSS 2024 - [c60]Hongyi Lu, Shuai Wang, Yechang Wu, Wanning He, Fengwei Zhang:
MOAT: Towards Safe BPF Kernel Extension. USENIX Security Symposium 2024 - [i48]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios. CoRR abs/2402.01723 (2024) - [i47]Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang:
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning. CoRR abs/2402.05945 (2024) - [i46]Daoyuan Wu, Shuai Wang, Yang Liu, Ning Liu:
LLMs Can Defend Themselves Against Jailbreaking in a Practical Manner: A Vision Paper. CoRR abs/2402.15727 (2024) - [i45]Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang:
How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. CoRR abs/2404.13945 (2024) - [i44]Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang:
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR abs/2404.17833 (2024) - [i43]Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu:
Exploring Multi-Lingual Bias of Large Code Models in Code Generation. CoRR abs/2404.19368 (2024) - [i42]Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel:
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. CoRR abs/2406.05498 (2024) - [i41]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR abs/2406.10537 (2024) - [i40]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
API-guided Dataset Synthesis to Finetune Large Code Models. CoRR abs/2408.08343 (2024) - 2023
- [j12]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1(2): 156:1-156:27 (2023) - [j11]Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang:
Testing Graph Database Systems via Graph-Aware Metamorphic Relations. Proc. VLDB Endow. 17(4): 836-848 (2023) - [j10]Huaijin Wang, Pingchuan Ma, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
sem2vec: Semantics-aware Assembly Tracelet Embedding. ACM Trans. Softw. Eng. Methodol. 32(4): 90:1-90:34 (2023) - [j9]Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking. IEEE Trans. Software Eng. 49(1): 226-250 (2023) - [c59]Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang:
Detecting and Repairing Deviated Outputs of Compressed Models. ACML 2023: 707-722 - [c58]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates. AISTATS 2023: 3151-3178 - [c57]Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao:
Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. CCS 2023: 2336-2350 - [c56]Naiqian Zhang, Daroc Alden, Dongpeng Xu, Shuai Wang, Trent Jaeger, Wheeler Ruml:
No Free Lunch: On the Increased Code Reuse Attack Surface of Obfuscated Programs. DSN 2023: 313-326 - [c55]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352 - [c54]Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song:
Secure Federated Correlation Test and Entropy Estimation. ICML 2023: 26990-27010 - [c53]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion. ICSE 2023: 1200-1212 - [c52]Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. ICSE 2023: 1238-1250 - [c51]Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
CC: Causality-Aware Coverage Criterion for Deep Neural Networks. ICSE 2023: 1788-1800 - [c50]Dongwei Xiao, Zhibo Liu, Shuai Wang:
Metamorphic Shader Fusion for Testing Graphics Shader Compilers. ICSE 2023: 2400-2412 - [c49]Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng:
Exploring Missed Optimizations in WebAssembly Optimizers. ISSTA 2023: 436-448 - [c48]Yuzhou Fang, Daoyuan Wu, Xiao Yi, Shuai Wang, Yufan Chen, Mengjie Chen, Yang Liu, Lingxiao Jiang:
Beyond "Protected" and "Private": An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts. ISSTA 2023: 1157-1168 - [c47]Wei Chen, Huaijin Wang, Weixi Gu, Shuai Wang:
RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing. ISC 2023: 99-118 - [c46]Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li:
Causality-Aided Trade-Off Analysis for Machine Learning Fairness. ASE 2023: 371-383 - [c45]Zhenlan Ji, Pingchuan Ma, Shuai Wang:
Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. ASE 2023: 1454-1466 - [c44]Dongwei Xiao, Zhibo Liu, Shuai Wang:
PhyFu: Fuzzing Modern Physics Simulation Engines. ASE 2023: 1579-1591 - [c43]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE 2023: 1952-1962 - [c42]Yanzuo Chen, Yuanyuan Yuan, Shuai Wang:
OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables. NDSS 2023 - [c41]Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. NeurIPS 2023 - [c40]Zhaoyu Wang, Pingchuan Ma, Shuai Wang:
Towards Practical Federated Causal Structure Learning. ECML/PKDD (2) 2023: 351-367 - [c39]Wanning He, Hongyi Lu, Fengwei Zhang, Shuai Wang:
RingGuard: Guard io_uring with eBPF. eBPF@SIGCOMM 2023: 56-62 - [c38]Yuanyuan Yuan, Zhibo Liu, Shuai Wang:
CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software. USENIX Security Symposium 2023: 2009-2026 - [c37]Yuanyuan Yuan, Shuai Wang, Zhendong Su:
Precise and Generalized Robustness Certification for Neural Networks. USENIX Security Symposium 2023: 4769-4786 - [c36]Sen Deng, Mengyuan Li, Yining Tang, Shuai Wang, Shoumeng Yan, Yinqian Zhang:
CipherH: Automated Detection of Ciphertext Side-channel Vulnerabilities in Cryptographic Implementations. USENIX Security Symposium 2023: 6843-6860 - [c35]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. USENIX Security Symposium 2023: 7357-7374 - [i39]Hongyi Lu, Shuai Wang, Yechang Wu, Wanning He, Fengwei Zhang:
MOAT: Towards Safe BPF Kernel Extension. CoRR abs/2301.13421 (2023) - [i38]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao:
On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR abs/2303.03012 (2023) - [i37]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR abs/2304.00477 (2023) - [i36]Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang:
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process. CoRR abs/2305.02626 (2023) - [i35]Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang:
Explain Any Concept: Segment Anything Meets Concept-Based Explanation. CoRR abs/2305.10289 (2023) - [i34]Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li:
Causality-Aided Trade-off Analysis for Machine Learning Fairness. CoRR abs/2305.13057 (2023) - [i33]Yuanyuan Yuan, Shuai Wang, Zhendong Su:
Precise and Generalized Robustness Certification for Neural Networks. CoRR abs/2306.06747 (2023) - [i32]Zhaoyu Wang, Pingchuan Ma, Shuai Wang:
Towards Practical Federated Causal Structure Learning. CoRR abs/2306.09433 (2023) - [i31]Dongwei Xiao, Zhibo Liu, Shuai Wang:
PHYFU: Fuzzing Modern Physics Simulation Engines. CoRR abs/2307.10818 (2023) - [i30]Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren:
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version). CoRR abs/2309.05264 (2023) - [i29]Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, Shuai Wang:
Unveiling Single-Bit-Flip Attacks on DNN Executables. CoRR abs/2309.06223 (2023) - [i28]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR abs/2309.08115 (2023) - [i27]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR abs/2310.01432 (2023) - [i26]Wei Chen, Huaijin Wang, Weixi Gu, Shuai Wang:
RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing. CoRR abs/2310.02609 (2023) - [i25]Wai Kin Wong, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Refining Decompiled C Code with Large Language Models. CoRR abs/2310.06530 (2023) - [i24]Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR abs/2310.06680 (2023) - [i23]Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. CoRR abs/2312.01886 (2023) - [i22]Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao:
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR abs/2312.04087 (2023) - 2022
- [j8]Mingyue Jiang, Tsong Yueh Chen, Shuai Wang:
On the effectiveness of testing sentiment analysis systems with metamorphic testing. Inf. Softw. Technol. 150: 106966 (2022) - [j7]Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang:
Metamorphic Testing of Deep Learning Compilers. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 15:1-15:28 (2022) - [j6]Huaijin Wang, Shuai Wang, Dongpeng Xu, Xiangyu Zhang, Xiao Liu:
Generating Effective Software Obfuscation Sequences With Reinforcement Learning. IEEE Trans. Dependable Secur. Comput. 19(3): 1900-1917 (2022) - [j5]Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, Shuai Wang:
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers. IEEE Trans. Inf. Forensics Secur. 17: 982-997 (2022) - [j4]Pingchuan Ma, Zhenlan Ji, Qi Pang, Shuai Wang:
NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model. IEEE Trans. Inf. Forensics Secur. 17: 2324-2338 (2022) - [c34]Ke Jiang, Yuyan Bao, Shuai Wang, Zhibo Liu, Tianwei Zhang:
Cache Refinement Type for Side-Channel Detection of Cryptographic Software. CCS 2022: 1583-1597 - [c33]Kenton McDonough, Xing Gao, Shuai Wang, Haining Wang:
Torpedo: A Fuzzing Framework for Discovering Adversarial Container Workloads. DSN 2022: 402-414 - [c32]Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. ICSE 2022: 2253-2265 - [c31]Wai Kin Wong, Huaijin Wang, Pingchuan Ma, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen, Qiyi Tang, Sen Nie, Shi Wu:
Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs. ICSME 2022: 117-128 - [c30]Qi Pang, Yuanyuan Yuan, Shuai Wang:
MDPFuzz: testing models solving Markov decision processes. ISSTA 2022: 378-390 - [c29]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing. ASE 2022: 113:1-113:13 - [c28]Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang:
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD 2022: 1213-1223 - [c27]Zhenlan Ji, Pingchuan Ma, Shuai Wang:
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning. SEKE 2022: 525-530 - [c26]Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, Shuai Wang:
Metamorphic Testing of Deep Learning Compilers. SIGMETRICS (Abstracts) 2022: 65-66 - [c25]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao:
SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications. SP 2022: 1100-1119 - [c24]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Automated Side Channel Analysis of Media Software with Manifold Learning. USENIX Security Symposium 2022: 4419-4436 - [i21]Qi Pang, Yuanyuan Yuan, Shuai Wang, Wenting Zheng:
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems. CoRR abs/2201.02775 (2022) - [i20]Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. CoRR abs/2204.09191 (2022) - [i19]Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan:
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees. CoRR abs/2205.11765 (2022) - [i18]Zhenlan Ji, Pingchuan Ma, Shuai Wang:
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis. CoRR abs/2207.08369 (2022) - [i17]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR abs/2207.12718 (2022) - [i16]Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. CoRR abs/2208.08289 (2022) - [i15]Ke Jiang, Yuyan Bao, Shuai Wang, Zhibo Liu, Tianwei Zhang:
Cache Refinement Type for Side-Channel Detection of Cryptographic Software. CoRR abs/2209.04610 (2022) - [i14]Yuanyuan Yuan, Zhibo Liu, Shuai Wang:
CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software. CoRR abs/2209.14952 (2022) - [i13]Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma:
Decompiling x86 Deep Neural Network Executables. CoRR abs/2210.01075 (2022) - [i12]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing. CoRR abs/2210.04942 (2022) - 2021
- [j3]Pingchuan Ma, Shuai Wang:
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations. Proc. VLDB Endow. 15(3): 569-582 (2021) - [c23]Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen:
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing. CVPR 2021: 16908-16917 - [c22]Yuanyuan Yuan, Shuai Wang, Junping Zhang:
Private Image Reconstruction from System Side Channels Using Generative Models. ICLR 2021 - [c21]Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su:
SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. OSDI 2021: 479-494 - [e1]Shuai Wang, Xiaofei Xie, Lei Ma:
AISTA 2021: Proceedings of the 1st ACM International Workshop on AI and Software Testing/Analysis, Virtual Event, Denmark, 12 July 2021. ACM 2021, ISBN 978-1-4503-8541-1 [contents] - [i11]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
FED-χ2: Privacy Preserving Federated Correlation Test. CoRR abs/2105.14618 (2021) - [i10]Yuanyuan Yuan, Qi Pang, Shuai Wang:
You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage. CoRR abs/2112.01955 (2021) - [i9]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Enhancing Deep Neural Networks Testing by Traversing Data Manifold. CoRR abs/2112.01956 (2021) - [i8]Qi Pang, Yuanyuan Yuan, Shuai Wang:
MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process. CoRR abs/2112.02807 (2021) - [i7]Yuanyuan Yuan, Qi Pang, Shuai Wang:
Automated Side Channel Analysis of Media Software with Manifold Learning. CoRR abs/2112.04947 (2021) - 2020
- [j2]Menghao Li, Pei Wang, Wei Wang, Shuai Wang, Dinghao Wu, Jian Liu, Rui Xue, Wei Huo, Wei Zou:
Large-Scale Third-Party Library Detection in Android Markets. IEEE Trans. Software Eng. 46(9): 981-1003 (2020) - [c20]Pei Wang, Jinquan Zhang, Shuai Wang, Dinghao Wu:
Quantitative Assessment on the Limitations of Code Randomization for Legacy Binaries. EuroS&P 2020: 1-16 - [c19]Pingchuan Ma, Shuai Wang, Jin Liu:
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models. IJCAI 2020: 458-465 - [c18]Zhibo Liu, Shuai Wang:
How far we have come: testing decompilation correctness of C decompilers. ISSTA 2020: 475-487 - [c17]Shuai Wang, Zhendong Su:
Metamorphic Object Insertion for Testing Object Detection Systems. ASE 2020: 1053-1065 - [i6]Lun Wang, Qi Pang, Shuai Wang, Dawn Song:
F2ED-Learning: Good Fences Make Good Neighbors. CoRR abs/2010.01175 (2020) - [i5]Pingchuan Ma, Shuai Wang:
MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing. CoRR abs/2012.11163 (2020)
2010 – 2019
- 2019
- [j1]Shuai Wang, Chengyu Zhang, Zhendong Su:
Detecting nondeterministic payment bugs in Ethereum smart contracts. Proc. ACM Program. Lang. 3(OOPSLA): 189:1-189:29 (2019) - [c16]Xiao Liu, Shuai Wang, Pei Wang, Dinghao Wu:
Automatic grading of programming assignments: an approach based on formal semantics. ICSE (SEET) 2019: 126-137 - [c15]Shuai Wang, Yuyan Bao, Xiao Liu, Pei Wang, Danfeng Zhang, Dinghao Wu:
Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation. USENIX Security Symposium 2019: 657-674 - [i4]Shuai Wang, Yuyan Bao, Xiao Liu, Pei Wang, Danfeng Zhang, Dinghao Wu:
Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation. CoRR abs/1905.13332 (2019) - [i3]Shuai Wang, Zhendong Su:
Metamorphic Testing for Object Detection Systems. CoRR abs/1912.12162 (2019) - 2018
- [c14]Pei Wang, Qinkun Bao, Li Wang, Shuai Wang, Zhaofeng Chen, Tao Wei, Dinghao Wu:
Software protection on the go: a large-scale empirical study on mobile app obfuscation. ICSE 2018: 26-36 - [c13]Yufei Jiang, Qinkun Bao, Shuai Wang, Xiao Liu, Dinghao Wu:
RedDroid: Android Application Redundancy Customization Based on Static Analysis. ISSRE 2018: 189-199 - 2017
- [c12]Shuai Wang, Wenhao Wang, Qinkun Bao, Pei Wang, XiaoFeng Wang, Dinghao Wu:
Binary Code Retrofitting and Hardening Using SGX. FEAST@CCS 2017: 43-49 - [c11]Menghao Li, Wei Wang, Pei Wang, Shuai Wang, Dinghao Wu, Jian Liu, Rui Xue, Wei Huo:
LibD: scalable and precise third-party library detection in android markets. ICSE 2017: 335-346 - [c10]Shuai Wang, Pei Wang, Dinghao Wu:
Composite Software Diversification. ICSME 2017: 284-294 - [c9]Shuai Wang, Pei Wang, Dinghao Wu:
Semantics-Aware Machine Learning for Function Recognition in Binary Code. ICSME 2017: 388-398 - [c8]Shuai Wang, Dinghao Wu:
In-memory fuzzing for binary code similarity analysis. ASE 2017: 319-330 - [c7]Pengwei Lan, Pei Wang, Shuai Wang, Dinghao Wu:
Lambda Obfuscation. SecureComm 2017: 206-224 - [c6]Yan Wang, Shuai Wang, Pei Wang, Dinghao Wu:
Turing Obfuscation. SecureComm 2017: 225-244 - [c5]Shuai Wang, Pei Wang, Xiao Liu, Danfeng Zhang, Dinghao Wu:
CacheD: Identifying Cache-Based Timing Channels in Production Software. USENIX Security Symposium 2017: 235-252 - 2016
- [c4]Pei Wang, Shuai Wang, Jiang Ming, Yufei Jiang, Dinghao Wu:
Translingual Obfuscation. EuroS&P 2016: 128-144 - [c3]Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee:
From Physical to Cyber: Escalating Protection for Personalized Auto Insurance. SenSys 2016: 42-55 - [c2]Shuai Wang, Pei Wang, Dinghao Wu:
UROBOROS: Instrumenting Stripped Binaries with Static Reassembling. SANER 2016: 236-247 - [i2]Pei Wang, Shuai Wang, Jiang Ming, Yufei Jiang, Dinghao Wu:
Translingual Obfuscation. CoRR abs/1601.00763 (2016) - [i1]Le Guan, Jun Xu, Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee:
Exploiting Insurance Telematics for Fun and Profit. CoRR abs/1609.02234 (2016) - 2015
- [c1]Shuai Wang, Pei Wang, Dinghao Wu:
Reassembleable Disassembling. USENIX Security Symposium 2015: 627-642
Coauthor Index
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