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2020 – today
- 2023
[j42]Pin-Yu Chen
, Payel Das:
AI Maintenance: A Robustness Perspective. Computer 56(2): 48-56 (2023)- [j41]Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang:
Robust Event Classification Using Imperfect Real-World PMU Data. IEEE Internet Things J. 10(9, May 1): 7429-7438 (2023) - [j40]Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos:
Diagnostic spatio-temporal transformer with faithful encoding. Knowl. Based Syst. 274: 110639 (2023) - [j39]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor:
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. 31: 633-642 (2023) - [c179]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. AAAI 2023: 11219-11227 - [c178]Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. AAAI 2023: 15411-15420 - [c177]Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. AAAI 2023: 16446-16448 - [c176]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. AISTATS 2023: 6853-6878 - [c175]Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Computational Complexity of Verifying the Group No-show Paradox. AAMAS 2023: 2877-2879 - [c174]Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li:
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS 2023: 1511-1525 - [c173]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson:
Counterfactually Guided Policy Transfer in Clinical Settings. CHIL 2023: 6-18 - [c172]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CVPR Workshops 2023: 2630-2636 - [c171]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
How to Backdoor Diffusion Models? CVPR 2023: 4015-4024 - [c170]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR 2023: 19133-19143 - [c169]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CVPR 2023: 24658-24667 - [c168]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. DAC 2023: 1-6 - [c167]Neel Bhandari, Pin-Yu Chen:
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. ICASSP 2023: 1-5 - [c166]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. ICASSP 2023: 1-5 - [c165]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. ICASSP 2023: 1-5 - [c164]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP 2023: 1-5 - [c163]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. ICLR 2023 - [c162]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR 2023 - [c161]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR 2023 - [c160]Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen:
Identification of the Adversary from a Single Adversarial Example. ICML 2023: 5472-5484 - [c159]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. ICML 2023: 6074-6114 - [c158]Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. ICML 2023: 6760-6785 - [c157]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Pretrained Language Models for Antibody Sequence Infilling. ICML 2023: 24398-24419 - [c156]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML 2023: 38938-38970 - [c155]Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu:
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML 2023: 39035-39061 - [c154]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules (Extended Abstract). IJCAI 2023: 6931-6936 - [c153]Sarwan Ali, Pin-Yu Chen, Murray Patterson:
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. ISBRA 2023: 1-15 - [c152]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. MICCAI (1) 2023: 728-738 - [c151]Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao:
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement. MLSP 2023: 1-6 - [c150]Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen:
Pessimistic Model Selection for Offline Deep Reinforcement Learning. UAI 2023: 2379-2389 - [c149]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Causal Transformer for Noisy Image Classification. WACV 2023: 6128-6139 - [i223]Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning. CoRR abs/2301.02120 (2023) - [i222]Pin-Yu Chen, Payel Das:
AI Maintenance: A Robustness Perspective. CoRR abs/2301.03052 (2023) - [i221]Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Certified Interpretability Robustness for Class Activation Mapping. CoRR abs/2301.11324 (2023) - [i220]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR abs/2302.02922 (2023) - [i219]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR abs/2302.06015 (2023) - [i218]Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR abs/2302.10980 (2023) - [i217]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR abs/2303.01713 (2023) - [i216]Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Visual Prompting in Differential Privacy. CoRR abs/2303.12247 (2023) - [i215]Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee:
Overload: Latency Attacks on Object Detection for Edge Devices. CoRR abs/2304.05370 (2023) - [i214]Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho:
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models. CoRR abs/2304.09875 (2023) - [i213]Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson:
Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR abs/2304.12328 (2023) - [i212]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. CoRR abs/2305.00455 (2023) - [i211]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. CoRR abs/2305.15377 (2023) - [i210]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR abs/2305.16536 (2023) - [i209]Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos:
Diagnostic Spatio-temporal Transformer with Faithful Encoding. CoRR abs/2305.17149 (2023) - [i208]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh:
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits. CoRR abs/2306.03741 (2023) - [i207]Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen:
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks. CoRR abs/2306.04073 (2023) - [i206]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models. CoRR abs/2306.06874 (2023) - [i205]Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho:
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. CoRR abs/2306.16869 (2023) - [i204]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. CoRR abs/2307.01947 (2023) - [i203]Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
RADAR: Robust AI-Text Detection via Adversarial Learning. CoRR abs/2307.03838 (2023) - [i202]Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury:
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. CoRR abs/2307.10041 (2023) - [i201]Neel Bhandari, Pin-Yu Chen:
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. CoRR abs/2307.12520 (2023) - [i200]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR abs/2308.10110 (2023) - [i199]Diganta Misra, Agam Goyal, Bharat Runwal, Pin-Yu Chen:
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets. CoRR abs/2308.14969 (2023) - [i198]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation. CoRR abs/2309.01207 (2023) - [i197]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts. CoRR abs/2309.06135 (2023) - [i196]Xilong Wang, Chia-Mu Yu, Pin-Yu Chen:
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers. CoRR abs/2309.06526 (2023) - [i195]Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where. CoRR abs/2309.12757 (2023) - [i194]Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng:
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models. CoRR abs/2309.15701 (2023) - [i193]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i192]Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson:
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! CoRR abs/2310.03693 (2023) - [i191]Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho:
AutoVP: An Automated Visual Prompting Framework and Benchmark. CoRR abs/2310.08381 (2023) - [i190]Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang:
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models? CoRR abs/2310.10012 (2023) - [i189]Saiteja Utpala, Sara Hooker, Pin-Yu Chen:
Locally Differentially Private Document Generation Using Zero Shot Prompting. CoRR abs/2310.16111 (2023) - [i188]Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury:
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR abs/2310.16173 (2023) - [i187]Saiteja Utpala, Alex Gu, Pin-Yu Chen:
Language Agnostic Code Embeddings. CoRR abs/2310.16803 (2023) - [i186]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Conditional Modeling Based Automatic Video Summarization. CoRR abs/2311.12159 (2023) - [i185]Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho:
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. CoRR abs/2311.16646 (2023) - 2022
- [j38]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules. J. Artif. Intell. Res. 75: 1139-1176 (2022) - [j37]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4(1): 21-31 (2022) - [j36]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
On the Adversarial Robustness of Vision Transformers. Trans. Mach. Learn. Res. 2022 (2022) - [j35]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. IEEE Trans. Signal Process. 70: 4571-4585 (2022) - [c148]Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. AAAI 2022: 2071-2081 - [c147]Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu:
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI 2022: 6926-6934 - [c146]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Zeroth-Order Optimization for Composite Problems with Functional Constraints. AAAI 2022: 7453-7461 - [c145]Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Training a Resilient Q-network against Observational Interference. AAAI 2022: 8814-8822 - [c144]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657 - [c143]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. AAAI 2022: 13170-13172 - [c142]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. IEEE Big Data 2022: 1495-1504 - [c141]Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. ECCV (4) 2022: 654-671 - [c140]Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder:
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF 2022: 480-488 - [c139]Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Real-World Adversarial Examples Via Makeup. ICASSP 2022: 2854-2858 - [c138]Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu:
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. ICASSP 2022: 4398-4402 - [c137]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP 2022: 8602-8606 - [c136]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c135]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR 2022 - [c134]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner in Classification. ICLR 2022 - [c133]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferable Representations. ICLR 2022 - [c132]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. ICME 2022: 1-6 - [c131]Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen:
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning. ICML 2022: 10-32 - [c130]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c129]Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng:
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML 2022: 11387-11412 - [c128]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022: 13014-13051 - [c127]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. IJCAI 2022: 673-679 - [c126]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI 2022: 4929-4935 - [c125]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
CARBEN: Composite Adversarial Robustness Benchmark. IJCAI 2022: 5908-5911 - [c124]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC 2022: 283-289 - [c123]Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). KDD 2022: 4858-4859 - [c122]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT 2022: 587-599 - [c121]Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu:
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis. NeurIPS 2022 - [c120]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed adversarial training to robustify deep neural networks at scale. UAI 2022: 2353-2363 - [p1]Xiao Jin, Pin-Yu Chen, Tianyi Chen:
Data Leakage in Federated Learning. Federated Learning 2022: 337-361 - [i184]Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR abs/2201.04194 (2022) - [i183]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR abs/2201.08514 (2022) - [i182]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferrable Representations. CoRR abs/2202.01011 (2022) - [i181]Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CoRR abs/2202.04235 (2022) - [i180]Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. CoRR abs/2202.07201 (2022) - [i179]