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Ting Wang 0006
Person information
- affiliation: Pennsylvania State University, University Park, PA, USA
- affiliation (former): Lehigh University, Bethlehem, PA, USA
- affiliation (former): IBM Research Center, Yorktown Heights, NY, USA
- affiliation (PhD): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Ting Wang — disambiguation page
- Ting Wang 0001 — East China Normal University, Shanghai, China (and 1 more)
- Ting Wang 0002 — Massey University, Volcanic Risk Solutions, New Zealand
- Ting Wang 0003 — University of Pittsburgh, Department of Pediatrics, PA, USA (and 1 more)
- Ting Wang 0004 — Zhejiang University of Technology, College of Computer Science, Hangzhou, China
- Ting Wang 0005 — Southwest University, Faculty of Psychology, Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing, China (and 1 more)
- Ting Wang 0007 — Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (and 1 more)
- Ting Wang 0008 — Chinese University of Hong Kong, Department of Computer Science and Engineering, CUhk REliable Computing Laboratory, Hong Kong
- Ting Wang 0009 — National University of Defense Technology, College of Computer, Changsha, China
- Ting Wang 0010 — École centrale de Nantes, France
- Ting Wang 0011 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China (and 3 more)
- Ting Wang 0012 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Key Laboratory of Systems and Control, Beijing, China
- Ting Wang 0013 — Nanjing Tech University, College of Electrical Engineering And Control Science, Jiangsu, China (and 2 more)
- Ting Wang 0014 — Capital University of Economics and Business, School of Management and Engineering, Beijing, China
- Ting Wang 0015 — South China University of Technology, School of Medicine, Guangzhou, China (and 2 more)
- Ting Wang 0016 — NEC Laboratories America, Princeton, NJ, USA
- Ting Wang 0017 — SAP Asia Pte Ltd, Singapore (and 1 more)
- Ting Wang 0018 — Shandong University of Science and Technology, Qingdao, China (and 2 more)
- Ting Wang 0019 — Tongji University, Shanghai, China
- Ting Wang 0020 — Emporia State University, School of Library and Information Management, KS, USA
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2020 – today
- 2024
- [j27]Ping He, Xuhong Zhang, Changting Lin, Ting Wang, Shouling Ji:
Towards understanding bogus traffic service in online social networks. Frontiers Inf. Technol. Electron. Eng. 25(3): 415-431 (2024) - [j26]Chenghui Shi, Shouling Ji, Xudong Pan, Xuhong Zhang, Mi Zhang, Min Yang, Jun Zhou, Jianwei Yin, Ting Wang:
Towards Practical Backdoor Attacks on Federated Learning Systems. IEEE Trans. Dependable Secur. Comput. 21(6): 5431-5447 (2024) - [j25]Zhenqing Qu, Xiang Ling, Ting Wang, Xiang Chen, Shouling Ji, Chunming Wu:
AdvSQLi: Generating Adversarial SQL Injections Against Real-World WAF-as-a-Service. IEEE Trans. Inf. Forensics Secur. 19: 2623-2638 (2024) - [j24]Pengyu Qiu, Xuhong Zhang, Shouling Ji, Chong Fu, Xing Yang, Ting Wang:
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 3435-3450 (2024) - [c104]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. AAAI 2024: 274-282 - [c103]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI 2024: 6755-6763 - [c102]Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang:
Model Extraction Attacks Revisited. AsiaCCS 2024 - [c101]Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang:
Generative AI in the Wild: Prospects, Challenges, and Strategies. CHI 2024: 747:1-747:16 - [c100]Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma:
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) 2024: 7429-7440 - [c99]Tianyu Du, Luca Melis, Ting Wang:
ReMasker: Imputing Tabular Data with Masked Autoencoding. ICLR 2024 - [c98]Lujia Shen, Yuwen Pu, Shouling Ji, Changjiang Li, Xuhong Zhang, Chunpeng Ge, Ting Wang:
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention. NDSS 2024 - [c97]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM 2024: 361-369 - [c96]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM 2024: 499-507 - [c95]Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang:
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. USENIX Security Symposium 2024 - [i56]Zhenqing Qu, Xiang Ling, Ting Wang, Xiang Chen, Shouling Ji, Chunming Wu:
AdvSQLi: Generating Adversarial SQL Injections against Real-world WAF-as-a-service. CoRR abs/2401.02615 (2024) - [i55]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR abs/2401.11252 (2024) - [i54]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR abs/2402.11083 (2024) - [i53]Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang:
Generative AI in the Wild: Prospects, Challenges, and Strategies. CoRR abs/2404.04101 (2024) - [i52]Jiahao Chen, Zhiqiang Shen, Yuwen Pu, Chunyi Zhou, Changjiang Li, Ting Wang, Shouling Ji:
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective. CoRR abs/2405.12786 (2024) - [i51]Tianrong Zhang, Zhaohan Xi, Ting Wang, Prasenjit Mitra, Jinghui Chen:
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning. CoRR abs/2406.04478 (2024) - [i50]Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang:
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR abs/2406.09669 (2024) - [i49]Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma:
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR abs/2410.09079 (2024) - 2023
- [j23]Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma:
Predicting line of therapy transition via similar patient augmentation. J. Biomed. Informatics 147: 104511 (2023) - [j22]Yiming Wu, Zhiyuan Xie, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Changting Lin, Shuiguang Deng, Jun Zhou, Ting Wang, Raheem Beyah:
Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study. IEEE Trans. Dependable Secur. Comput. 20(2): 1169-1185 (2023) - [j21]Pengyu Qiu, Xuhong Zhang, Shouling Ji, Tianyu Du, Yuwen Pu, Jun Zhou, Ting Wang:
Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 3653-3668 (2023) - [c94]Zihao Li, Jianfeng Li, Zheyuan He, Xiapu Luo, Ting Wang, Xiaoze Ni, Wenwu Yang, Xi Chen, Ting Chen:
Demystifying DeFi MEV Activities in Flashbots Bundle. CCS 2023: 165-179 - [c93]Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang:
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CHI 2023: 247:1-247:15 - [c92]Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. ICCV 2023: 4344-4355 - [c91]Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang:
Poster: SigRec - Automatic Recovery of Function Signatures in Smart Contracts. ICDCS 2023: 1065-1066 - [c90]Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang:
The Dark Side of AutoML: Towards Architectural Backdoor Search. ICLR 2023 - [c89]Kun Wu, Jie Shen, Yue Ning, Ting Wang, Wendy Hui Wang:
Certified Edge Unlearning for Graph Neural Networks. KDD 2023: 2606-2617 - [c88]Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma:
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD 2023: 3093-3104 - [c87]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS 2023 - [c86]Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen:
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. NeurIPS 2023 - [c85]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang:
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS 2023 - [c84]Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma:
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS 2023 - [c83]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang:
On the Security Risks of Knowledge Graph Reasoning. USENIX Security Symposium 2023: 3259-3276 - [c82]Chong Fu, Xuhong Zhang, Shouling Ji, Ting Wang, Peng Lin, Yanghe Feng, Jianwei Yin:
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases. USENIX Security Symposium 2023: 6399-6416 - [c81]Jiahao Yu, Wenbo Guo, Qi Qin, Gang Wang, Ting Wang, Xinyu Xing:
AIRS: Explanation for Deep Reinforcement Learning based Security Applications. USENIX Security Symposium 2023: 7375-7392 - [i48]Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang:
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CoRR abs/2302.10827 (2023) - [i47]Chong Fu, Xuhong Zhang, Shouling Ji, Ting Wang, Peng Lin, Yanghe Feng, Jianwei Yin:
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases. CoRR abs/2302.14500 (2023) - [i46]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang:
On the Security Risks of Knowledge Graph Reasoning. CoRR abs/2305.02383 (2023) - [i45]Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang:
SigRec: Automatic Recovery of Function Signatures in Smart Contracts. CoRR abs/2305.07067 (2023) - [i44]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang:
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR abs/2309.13256 (2023) - [i43]Tianyu Du, Luca Melis, Ting Wang:
ReMasker: Imputing Tabular Data with Masked Autoencoding. CoRR abs/2309.13793 (2023) - [i42]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR abs/2310.02520 (2023) - [i41]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR abs/2310.04655 (2023) - [i40]Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen:
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. CoRR abs/2310.19248 (2023) - [i39]Lujia Shen, Yuwen Pu, Shouling Ji, Changjiang Li, Xuhong Zhang, Chunpeng Ge, Ting Wang:
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention. CoRR abs/2311.17400 (2023) - [i38]Zihao Li, Jianfeng Li, Zheyuan He, Xiapu Luo, Ting Wang, Xiaoze Ni, Wenwu Yang, Xi Chen, Ting Chen:
Demystifying DeFi MEV Activities in Flashbots Bundle. CoRR abs/2312.01091 (2023) - [i37]Jiacheng Liang, Ren Pang, Changjiang Li, Ting Wang:
Model Extraction Attacks Revisited. CoRR abs/2312.05386 (2023) - [i36]Changjiang Li, Ren Pang, Bochuan Cao, Zhaohan Xi, Jinghui Chen, Shouling Ji, Ting Wang:
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks. CoRR abs/2312.09057 (2023) - [i35]Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang:
SigRec: Automatic Recovery of Function Signatures in Smart Contracts. IACR Cryptol. ePrint Arch. 2023: 672 (2023) - [i34]Zihao Li, Jianfeng Li, Zheyuan He, Xiapu Luo, Ting Wang, Xiaoze Ni, Wenwu Yang, Xi Chen, Ting Chen:
Demystifying DeFi MEV Activities in Flashbots Bundle. IACR Cryptol. ePrint Arch. 2023: 1855 (2023) - 2022
- [j20]Lirong Fu, Shouling Ji, Changchang Liu, Peiyu Liu, Fuzheng Duan, Zonghui Wang, Whenzhi Chen, Ting Wang:
Focus : Function clone identification on cross-platform. Int. J. Intell. Syst. 37(8): 5082-5112 (2022) - [j19]Tianyu Du, Shouling Ji, Bo Wang, Sirui He, Jinfeng Li, Bo Li, Tao Wei, Yunhan Jia, Raheem Beyah, Ting Wang:
DetectS ec: Evaluating the robustness of object detection models to adversarial attacks. Int. J. Intell. Syst. 37(9): 6463-6492 (2022) - [j18]Chenghui Shi, Xiaogang Xu, Shouling Ji, Kai Bu, Jianhai Chen, Raheem Beyah, Ting Wang:
Adversarial CAPTCHAs. IEEE Trans. Cybern. 52(7): 6095-6108 (2022) - [j17]Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang:
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications. IEEE Trans. Dependable Secur. Comput. 19(6): 3987-4001 (2022) - [j16]Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang:
SigRec: Automatic Recovery of Function Signatures in Smart Contracts. IEEE Trans. Software Eng. 48(8): 3066-3086 (2022) - [c80]Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma:
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. AAAI 2022: 3877-3884 - [c79]Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma:
AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM 2022: 948-953 - [c78]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM 2022: 1777-1780 - [c77]Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang:
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CCS 2022: 1157-1171 - [c76]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) 2022: 396-413 - [c75]Haipei Sun, Kun Wu, Ting Wang, Wendy Hui Wang:
Towards Fair and Robust Classification. EuroS&P 2022: 356-376 - [c74]Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, Xiapu Luo, Ting Wang:
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors. EuroS&P 2022: 684-702 - [c73]Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma:
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM 2022: 81-90 - [c72]Hao Zhou, Shuohan Wu, Xiapu Luo, Ting Wang, Yajin Zhou, Chao Zhang, Haipeng Cai:
NCScope: hardware-assisted analyzer for native code in Android apps. ISSTA 2022: 629-641 - [c71]Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma:
LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD 2022: 2307-2315 - [c70]Jianfeng Li, Shuohan Wu, Hao Zhou, Xiapu Luo, Ting Wang, Yangyang Liu, Xiaobo Ma:
Packet-Level Open-World App Fingerprinting on Wireless Traffic. NDSS 2022 - [c69]Hao Zhou, Haoyu Wang, Xiapu Luo, Ting Chen, Yajin Zhou, Ting Wang:
Uncovering Cross-Context Inconsistent Access Control Enforcement in Android. NDSS 2022 - [c68]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. SP 2022: 1423-1439 - [c67]Chong Fu, Xuhong Zhang, Shouling Ji, Jinyin Chen, Jingzheng Wu, Shanqing Guo, Jun Zhou, Alex X. Liu, Ting Wang:
Label Inference Attacks Against Vertical Federated Learning. USENIX Security Symposium 2022: 1397-1414 - [c66]Jianfeng Li, Hao Zhou, Shuohan Wu, Xiapu Luo, Ting Wang, Xian Zhan, Xiaobo Ma:
FOAP: Fine-Grained Open-World Android App Fingerprinting. USENIX Security Symposium 2022: 1579-1596 - [c65]Le Yu, Yangyang Liu, Pengfei Jing, Xiapu Luo, Lei Xue, Kaifa Zhao, Yajin Zhou, Ting Wang, Guofei Gu, Sen Nie, Shi Wu:
Towards Automatically Reverse Engineering Vehicle Diagnostic Protocols. USENIX Security Symposium 2022: 1939-1956 - [c64]Pengcheng Fang, Peng Gao, Changlin Liu, Erman Ayday, Kangkook Jee, Ting Wang, Yanfang (Fanny) Ye, Zhuotao Liu, Xusheng Xiao:
Back-Propagating System Dependency Impact for Attack Investigation. USENIX Security Symposium 2022: 2461-2478 - [c63]Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang:
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. USENIX Security Symposium 2022: 2673-2690 - [c62]Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang:
On the Security Risks of AutoML. USENIX Security Symposium 2022: 3953-3970 - [i33]Changjiang Li, Li Wang, Shouling Ji, Xuhong Zhang, Zhaohan Xi, Shanqing Guo, Ting Wang:
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. CoRR abs/2202.10673 (2022) - [i32]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR abs/2204.04063 (2022) - [i31]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. CoRR abs/2208.06592 (2022) - [i30]Yuyou Gan, Yuhao Mao, Xuhong Zhang, Shouling Ji, Yuwen Pu, Meng Han, Jianwei Yin, Ting Wang:
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. CoRR abs/2209.01782 (2022) - [i29]Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang:
Reasoning over Multi-view Knowledge Graphs. CoRR abs/2209.13702 (2022) - [i28]Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
Demystifying Self-supervised Trojan Attacks. CoRR abs/2210.07346 (2022) - [i27]Ren Pang, Changjiang Li, Zhaohan Xi, Shouling Ji, Ting Wang:
The Dark Side of AutoML: Towards Architectural Backdoor Search. CoRR abs/2210.12179 (2022) - [i26]Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang:
Hijack Vertical Federated Learning Models with Adversarial Embedding. CoRR abs/2212.00322 (2022) - [i25]Pengyu Qiu, Xuhong Zhang, Shouling Ji, Yuwen Pu, Ting Wang:
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning. CoRR abs/2212.00325 (2022) - 2021
- [j15]Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen:
Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. IEEE Trans. Cybern. 51(10): 5198-5211 (2021) - [c61]Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. AAAI 2021: 11691-11698 - [c60]Tianyu Du, Shouling Ji, Lujia Shen, Yao Zhang, Jinfeng Li, Jie Shi, Chengfang Fang, Jianwei Yin, Raheem Beyah, Ting Wang:
Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. CCS 2021: 516-534 - [c59]Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang:
Backdoor Pre-trained Models Can Transfer to All. CCS 2021: 3141-3158 - [c58]Xinyang Zhang, Zheng Zhang, Shouling Ji, Ting Wang:
Trojaning Language Models for Fun and Profit. EuroS&P 2021: 179-197 - [c57]Hao Zhou, Haoyu Wang, Shuohan Wu, Xiapu Luo, Yajin Zhou, Ting Chen, Ting Wang:
Finding the Missing Piece: Permission Specification Analysis for Android NDK. ASE 2021: 505-516 - [c56]Zhaohan Xi, Ren Pang, Shouling Ji, Ting Wang:
Graph Backdoor. USENIX Security Symposium 2021: 1523-1540 - [c55]Yuwei Li, Shouling Ji, Yuan Chen, Sizhuang Liang, Wei-Han Lee, Yueyao Chen, Chenyang Lyu, Chunming Wu, Raheem Beyah, Peng Cheng, Kangjie Lu, Ting Wang:
UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers. USENIX Security Symposium 2021: 2777-2794 - [c54]Pengfei Jing, Qiyi Tang, Yuefeng Du, Lei Xue, Xiapu Luo, Ting Wang, Sen Nie, Shi Wu:
Too Good to Be Safe: Tricking Lane Detection in Autonomous Driving with Crafted Perturbations. USENIX Security Symposium 2021: 3237-3254 - [i24]Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. CoRR abs/2101.09301 (2021) - [i23]Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang:
On the Security Risks of AutoML. CoRR abs/2110.06018 (2021) - [i22]Zhaohan Xi, Ren Pang, Changjiang Li, Shouling Ji, Xiapu Luo, Xusheng Xiao, Ting Wang:
Towards Robust Reasoning over Knowledge Graphs. CoRR abs/2110.14693 (2021) - [i21]Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang:
Backdoor Pre-trained Models Can Transfer to All. CoRR abs/2111.00197 (2021) - [i20]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. CoRR abs/2111.10991 (2021) - [i19]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR abs/2112.06063 (2021) - 2020
- [j14]Xurong Li, Shouling Ji, Juntao Ji, Zhenyu Ren, Chunming Wu, Bo Li, Ting Wang:
Adversarial examples detection through the sensitivity in space mappings. IET Comput. Vis. 14(5): 201-213 (2020) - [j13]Chengkun Wei, Shouling Ji, Changchang Liu, Wenzhi Chen, Ting Wang:
AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 15: 3239-3254 (2020) - [c53]Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex X. Liu, Ting Wang:
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. CCS 2020: 85-99 - [c52]Tianyu Du, Shouling Ji, Jinfeng Li, Qinchen Gu, Ting Wang, Raheem Beyah:
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems. AsiaCCS 2020: 357-369 - [c51]Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang:
Text Captcha Is Dead? A Large Scale Deployment and Empirical Study. CCS 2020: 1391-1406 - [c50]