Pin-Yu Chen

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Sijia LiuMichigan State University & MIT-IBM Watson AI LabVerified email at msu.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Huan ZhangAssistant Professor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Jinfeng Yi (易津锋)JD AI ResearchVerified email at jd.com
Chao-Han Huck YangGeorgia Institute of TechnologyVerified email at gatech.edu
Shin-Ming ChengProfessor, Dept. of CSIE, National Taiwan University of Science and TechnologyVerified email at mail.ntust.edu.tw
Amit DhurandharPrincipal Research Scientist, IBMVerified email at us.ibm.com
Tsui-Wei WengUCSDVerified email at ucsd.edu
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu
Xue LinNortheastern UniversityVerified email at northeastern.edu
Karthikeyan ShanmugamResearch Scientist, Google Research IndiaVerified email at google.com
Kwang-cheng ChenProfessor, Department of Electrical Engineering, University of South Florida; IEEE FellowVerified email at usf.edu
Ronny LussIBM ResearchVerified email at us.ibm.com
Yash SharmaUniversity of Tübingen, Max Planck Institute for Intelligent SystemsVerified email at bethgelab.org
Aleksandra MojsilovicGoogle ResearchVerified email at google.com
Kaidi XuAssistant Professor, Drexel UniversityVerified email at northeastern.edu
Chia-Mu YuNational Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
Prasanna SattigeriIBM Research AI, MIT-IBM Watson AI LabVerified email at us.ibm.com
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Paishun TingUniversity of Michigan - Ann ArborVerified email at umich.edu

Pin-Yu Chen

Principal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRC

Verified email at ibm.com - Homepage

Robust AI Trustworthy Machine Learning Adversarial Machine Learning Adversarial Robustness AI Safety


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ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh ACM Workshop on AI and Security (*equal contribution, best paper award finalist), 2017	1729	2017
Efficient Neural Network Robustness Certification with General Activation Functions H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel NeurIPS 2018, 2018	672	2018
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh AAAI 2018 (*equal contribution), 2017	621	2017
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives A Dhurandhar, PY Chen, R Luss, CC Tu, P Ting, K Shanmugam, P Das NeurIPS 2018 (*equal contribution), 2018	564	2018
DBA: Distributed Backdoor Attacks against Federated Learning C Xie, K Huang, PY Chen, B Li ICLR 2020, 2019	486	2019
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel ICLR 2018, 2018	454	2018
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... arXiv preprint arXiv:1909.03012, 2019	430	2019
Is Robustness the Cost of Accuracy?--A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D Su, H Zhang, H Chen, J Yi, PY Chen, Y Gao ECCV 2018, 2018	407	2018
Query-efficient hard-label black-box attack: An optimization-based approach M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh ICLR 2019, 2018	391	2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks CC Tu, P Ting, PY Chen, S Liu, H Zhang, J Yi, CJ Hsieh, SM Cheng AAAI 2019 (oral presentation, equal contribution), 2018	374	2018
Adversarial t-shirt! evading person detectors in a physical world K Xu, G Zhang, S Liu, Q Fan, M Sun, H Chen, PY Chen, Y Wang, X Lin ECCV 2020 (spotlight), 2019	304	2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective K Xu, H Chen, S Liu, PY Chen, TW Weng, M Hong, X Lin IJCAI 2019, 2019	301	2019
Seq2sick: Evaluating the robustness of sequence-to-sequence models with adversarial examples M Cheng, J Yi, PY Chen, H Zhang, CJ Hsieh AAAI 2020, 2018	228	2018
Smart attacks in smart grid communication networks PY Chen, SM Cheng, KC Chen IEEE Communications Magazine 50 (8), 24-29, 2012	225	2012
Vision transformers are robust learners S Paul, PY Chen AAAI 2022 (*equal contribution), 2021	221	2021
Variational Quantum Circuits for Deep Reinforcement Learning S Yen-Chi Chen, CH Huck Yang, J Qi, PY Chen, X Ma, HS Goan IEEE ACCESS, 2020	218	2020
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations P Das, T Sercu, K Wadhawan, I Padhi, S Gehrmann, F Cipcigan, ... Nature Biomedical Engineering 5 (6), 613-623, 2021	185	2021
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack M Cheng, S Singh, P Chen, PY Chen, S Liu, CJ Hsieh ICLR 2020, 2019	175	2019
Characterizing Audio Adversarial Examples Using Temporal Dependency Z Yang, B Li, PY Chen, D Song ICLR 2019, 2018	174	2018
Attacking visual language grounding with adversarial examples: A case study on neural image captioning H Chen, H Zhang, PY Chen, J Yi, CJ Hsieh ACL 2018 (Long Papers) 1, 2587-2597, 2018	171*	2018

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