Pin-Yu Chen - researchr alias

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Viewing Publication 1 - 100 from 213

2023

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated LearningKaiyuan Zhang 0002, Guanhong Tao, Qiuling Xu, Siyuan Cheng 0005, Shengwei An, Yingqi Liu, Shiwei Feng 0002, Guangyu Shen, Pin-Yu Chen, ShiQing Ma, Xiangyu Zhang 0001. iclr 2023: [doi]

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech ProcessingJun Qi 0002, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor. taslp, 31:633-642, 2023. [doi]

Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural NetworksShuai Zhang 0015, Meng Wang 0003, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Miao Liu. iclr 2023: [doi]

Counterfactually Guided Policy Transfer in Clinical SettingsSarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson. chil 2023: 6-18 [doi]

Holistic Adversarial Robustness of Deep Learning ModelsPin-Yu Chen, Sijia Liu 0001. AAAI 2023: 15411-15420 [doi]

AI Maintenance: A Robustness PerspectivePin-Yu Chen, Payel Das. Computer, 56(2):48-56, February 2023. [doi]

Understanding and Improving Visual Prompting: A Label-Mapping PerspectiveAochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu. cvpr 2023: 19133-19143 [doi]

Identification of the Adversary from a Single Adversarial ExampleMinhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen. icml 2023: 5472-5484 [doi]

How to Backdoor Diffusion Models?Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho. cvpr 2023: 4015-4024 [doi]

Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural NetworksMohammed Nowaz Rabbani Chowdhury, Shuai Zhang 0015, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. icml 2023: 6074-6114 [doi]

MultiRobustBench: Benchmarking Robustness Against Multiple AttacksSihui Dai, Saeed Mahloujifar, Chong Xiang 0001, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal. icml 2023: 6760-6785 [doi]

NCTV: Neural Clamping Toolkit and Visualization for Neural Network CalibrationLei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho. AAAI 2023: 16446-16448 [doi]

Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic PerturbationsLei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho. cvpr 2023: 24658-24667 [doi]

Causalainer: Causal Explainer for Automatic Video SummarizationJia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring. cvpr 2023: 2630-2636 [doi]

Diagnostic spatio-temporal transformer with faithful encodingJokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos. kbs, 274:110639, 2023. [doi]

A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample ComplexityHongkang Li, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. iclr 2023: [doi]

Robust Event Classification Using Imperfect Real-World PMU DataYunchuan Liu, Lei Yang 0001, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang. iotj, 10(9, May 1):7429-7438, 2023. [doi]

Reprogramming Pretrained Language Models for Antibody Sequence InfillingIgor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das. icml 2023: 24398-24419 [doi]

Learning to Design Fair and Private Voting Rules (Extended Abstract)Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia. IJCAI 2023: 6931-6936 [doi]

Computational Complexity of Verifying the Group No-show ParadoxFarhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia. atal 2023: 2877-2879 [doi]

Convex Bounds on the Softmax Function with Applications to Robustness VerificationDennis Wei, Haoze Wu 0001, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi. aistats 2023: 6853-6878 [doi]

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature SuppressionYihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman. icml 2023: 38938-38970 [doi]

Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous DataYonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu. icml 2023: 39035-39061 [doi]

Pessimistic Model Selection for Offline Deep Reinforcement LearningChao-Han Huck Yang, Zhengling Qi, Yifan Cui 0001, Pin-Yu Chen. uai 2023: 2379-2389 [doi]

Treatment Learning Causal Transformer for Noisy Image ClassificationChao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen. wacv 2023: 6128-6139 [doi]

When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveJiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan. AAAI 2023: 11219-11227 [doi]

2022

How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysisShuai Zhang 0015, Meng Wang 0003, Sijia Liu, Pin-Yu Chen, Jinjun Xiong. iclr 2022: [doi]

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta LearningMomin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen. icml 2022: 10-32 [doi]

The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022)Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu. kdd 2022: 4858-4859 [doi]

Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable RobustnessTianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu 0001, Pin-Yu Chen, Zhangyang Wang. icml 2022: 3760-3772 [doi]

CAT: Customized Adversarial Training for Improved RobustnessMinhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh. IJCAI 2022: 673-679 [doi]

Towards Creativity Characterization of Generative Models via Group-Based Subset ScanningCelia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen. IJCAI 2022: 4929-4935 [doi]

SenSE: A Toolkit for Semantic Change Exploration via Word Embedding AlignmentMaurício Gruppi, Sibel Adali, Pin-Yu Chen. AAAI 2022: 13170-13172 [doi]

Optimizing molecules using efficient queries from property evaluationsSamuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das. natmi, 4(1):21-31, 2022. [doi]

CARBEN: Composite Adversarial Robustness BenchmarkLei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho. IJCAI 2022: 5908-5911 [doi]

Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine LearningChia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu. AAAI 2022: 6926-6934 [doi]

Causal Video Summarizer for Video ExplorationJia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring. icmcs 2022: 1-6 [doi]

Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time SeriesShibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder. icaif 2022: 480-488 [doi]

Data Leakage in Federated LearningXiao Jin, Pin-Yu Chen, Tianyi Chen. In Heiko Ludwig, Nathalie Baracaldo, editors, Federated Learning - A Comprehensive Overview of Methods and Applications. pages 337-361, Springer, 2022. [doi]

MAML is a Noisy Contrastive Learner in ClassificationChia-Hsiang Kao, Wei-chen Chiu, Pin-Yu Chen. iclr 2022: [doi]

Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated FrameworkChing Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng. icml 2022: 11387-11412 [doi]

Zeroth-Order Optimization for Composite Problems with Functional ConstraintsZichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu. AAAI 2022: 7453-7461 [doi]

Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute SynthesisYu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-chen Chiu. nips 2022: [doi]

Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology SamplingHongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong. icml 2022: 13014-13051 [doi]

Real-World Adversarial Examples Via MakeupChang-sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu. icassp 2022: 2854-2858 [doi]

Learning to Design Fair and Private Voting RulesFarhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia. jair, 75:1139-1176, 2022. [doi]

Iterative Qubits Management for Quantum Index Searching in a Hybrid SystemWenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen. ipccc 2022: 283-289 [doi]

Active Sampling of Multiple Sources for Sequential EstimationArpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das. tsp, 70:4571-4585, 2022. [doi]

Auto-Transfer: Learning to Route Transferable RepresentationsKeerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar. iclr 2022: [doi]

Vision Transformers Are Robust LearnersSayak Paul, Pin-Yu Chen. AAAI 2022: 2071-2081 [doi]

Robust Text CAPTCHAs Using Adversarial ExamplesRulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh. bigdataconf 2022: 1495-1504 [doi]

On the Adversarial Robustness of Vision TransformersRulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh. tmlr, 2022, 2022. [doi]

A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified RobustnessJiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao. eccv 2022: 654-671 [doi]

When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level SolutionVardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu. icassp 2022: 4398-4402 [doi]

Analyzing and Improving Resilience and Robustness of Autonomous SystemsZishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury. iccad 2022: [doi]

A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock PredictionYong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo. naacl 2022: 587-599 [doi]

Training a Resilient Q-network against Observational InterferenceChao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen. AAAI 2022: 8814-8822 [doi]

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous ComputingChao-Han Huck Yang, Jun Qi 0002, Samuel Yen-Chi Chen, Yu Tsao 0001, Pin-Yu Chen. icassp 2022: 8602-8606 [doi]

Distributed adversarial training to robustify deep neural networks at scaleGaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu 0001. uai 2022: 2353-2363 [doi]

2021

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-LearningRen Wang 0008, Kaidi Xu, Sijia Liu 0001, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang. iclr 2021: [doi]

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural NetworksShuai Zhang 0015, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen, Jinjun Xiong. nips 2021: 2707-2720 [doi]

Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer CaseShuai Zhang 0015, Meng Wang 0003, Jinjun Xiong, Sijia Liu 0001, Pin-Yu Chen. tnn, 32(6):2622-2635, 2021. [doi]

AID: Attesting the Integrity of Deep Neural NetworksOmid Aramoon, Pin-Yu Chen, Gang Qu. dac 2021: 19-24 [doi]

Don't Forget to Sign the Gradients!Omid Aramoon, Pin-Yu Chen, Gang Qu 0001. mlsys 2021: [doi]

Fast Training of Provably Robust Neural Networks by SinglePropAkhilan Boopathy, Lily Weng, Sijia Liu 0001, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel. AAAI 2021: 6803-6811 [doi]

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein DesignYue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen. icml 2021: 1261-1271 [doi]

Self-Attentive Recommendation for Multi-Source Review PackagePin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, Yung-Ju Chang. ijcnn 2021: 1-8 [doi]

Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021)Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu. kdd 2021: 4112-4113 [doi]

Self-Progressing Robust TrainingMinhao Cheng, Pin-Yu Chen, Sijia Liu 0001, Shiyu Chang, Cho-Jui Hsieh, Payel Das. AAAI 2021: 7107-7115 [doi]

When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan. nips 2021: 21480-21492 [doi]

Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding TasksMaurício Gruppi, Pin-Yu Chen, Sibel Adali. AAAI 2021: 12893-12901 [doi]

The SenSE Toolkit: A System for Visualization and Explanation of Semantic ShiftMaurício Gruppi, Sibel Adali, Pin-Yu Chen. nips 2022: 283-287 [doi]

Catastrophic Data Leakage in Vertical Federated LearningXiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen. nips 2021: 994-1006 [doi]

Editorial: Safe and Trustworthy Machine LearningBhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li 0026. fdata, 4:731605, 2021. [doi]

Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimizationZichong Li, Pin-Yu Chen, Sijia Liu 0001, Songtao Lu, Yangyang Xu. aistats 2021: 2170-2178 [doi]

Leveraging Latent Features for Local ExplanationsRonny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun Chen Tu. kdd 2021: 1139-1149 [doi]

Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningAkshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm. nips 2021: 17347-17359 [doi]

How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm. cvpr 2021: 13244-13253 [doi]

Hidden Cost of Randomized SmoothingJeet Mohapatra, Ching Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu 0001, Luca Daniel. aistats 2021: 4033-4041 [doi]

Active Binary Classification of Random FieldsArpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das. isit 2021: 3326-3331 [doi]

Best Arm Identification in Contaminated Stochastic BanditsArpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das. nips 2021: 9651-9662 [doi]

Active Estimation From Multimodal DataArpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das. icassp 2021: 5180-5184 [doi]

Predicting Deep Neural Network Generalization with Perturbation Response CurvesYair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen. nips 2021: 21176-21188 [doi]

Domain Adaptation for Learning Generator From Paired Few-Shot DataChun-Chih Teng, Pin-Yu Chen, Wei-chen Chiu. icassp 2021: 1750-1754 [doi]

Non-Singular Adversarial Robustness of Neural NetworksYu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen. icassp 2021: 3840-3844 [doi]

Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight PerturbationsYu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen. nips 2021: 19692-19704 [doi]

Adversarial Attack Generation Empowered by Min-Max OptimizationJingkang Wang, Tianyun Zhang, Sijia Liu 0001, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li 0026. nips 2021: 16020-16033 [doi]

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural NetworksSiyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin. IJCAI 2021: 575-582 [doi]

CRFL: Certifiably Robust Federated Learning against Backdoor AttacksChulin Xie, Minghao Chen 0001, Pin-Yu Chen, Bo Li. icml 2021: 11372-11382 [doi]

Voice2Series: Reprogramming Acoustic Models for Time Series ClassificationChao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen. icml 2021: 11808-11819 [doi]

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech RecognitionChao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee. icassp 2021: 6523-6527 [doi]

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated LearningSyed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar 0001, Yi Zhou 0015, Nathalie Baracaldo, Yuan Tian, Feng Yan 0001. AAAI 2021: 10807-10814 [doi]

2020

Sign-OPT: A Query-Efficient Hard-label Adversarial AttackMinhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu 0001, Cho-Jui Hsieh. iclr 2020: [doi]

Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis TestingSanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu 0001, Kush R. Varshney. icml 2020: 2803-2813 [doi]

SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic ChangeMaurício Gruppi, Sibel Adali, Pin-Yu Chen. semeval 2020: 105-111 [doi]

Towards Verifying Robustness of Neural Networks Against A Family of Semantic PerturbationsJeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu 0001, Luca Daniel. cvpr 2020: 241-249 [doi]

Higher-Order Certification For Randomized SmoothingJeet Mohapatra, Ching Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu 0001, Luca Daniel. nips 2020: [doi]

Optimizing Mode Connectivity via Neuron AlignmentN. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai. nips 2020: [doi]

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