Pin-Yu Chen

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Sijia LiuAssistant Professor, Computer Science & Engineering Dept., Michigan State UniversityVerified email at msu.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Shin-Ming ChengAssociate Professor, Dept. of CSIE, National Taiwan University of Science and TechnologyVerified email at mail.ntust.edu.tw
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu
Huan ZhangCMUVerified email at andrew.cmu.edu
Jinfeng Yi (易津锋)JD AI ResearchVerified email at jd.com
Kwang-cheng ChenProfessor, Department of Electrical Engineering, University of South FloridaVerified email at usf.edu
Tsui-Wei WengMITVerified email at mit.edu
Xue LinNortheastern UniversityVerified email at northeastern.edu
Yash SharmaUniversity of Tübingen, Max Planck Institute for Intelligent SystemsVerified email at bethgelab.org
Karthikeyan ShanmugamResearch Staff Member, IBM ResearchVerified email at ibm.com
Amit DhurandharPrincipal RSM, IBMVerified email at us.ibm.com
Paishun TingUniversity of Michigan - Ann ArborVerified email at umich.edu
Kaidi XuNortheastern UniversityVerified email at northeastern.edu
Ronny LussIBM ResearchVerified email at us.ibm.com
Hongge ChenPhD, MIT EECSVerified email at mit.edu
Chun-Chen TuUniversity of MichiganVerified email at umich.edu
Minhao ChengPhD student, University of California, Los AngelesVerified email at cs.ucla.edu
Weng Chon AoQualcommVerified email at usc.edu
C.-H. Huck YangGeorgia Institute of TechnologyVerified email at gatech.edu

Pin-Yu Chen

Research Staff Member, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRC

Verified email at ibm.com - Homepage

Trustworthy Machine Learning Adversarial Machine Learning Adversarial Robustness AI Security Graph Signal Processing


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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 CCS Workshop on AI and Security, 2017	658	2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh AAAI 2018, 2017	325	2017
Efficient Neural Network Robustness Certification with General Activation Functions H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel NeurIPS 2018, 2018	226	2018
Smart attacks in smart grid communication networks PY Chen, SM Cheng, KC Chen IEEE Communications Magazine 50 (8), 24-29, 2012	190	2012
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	176	2018
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	169	2018
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, 2018	157	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	146	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), 2018	141	2018
On modeling malware propagation in generalized social networks SM Cheng, WC Ao, PY Chen, KC Chen IEEE Communications Letters 15 (1), 25-27, 2010	126	2010
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	105*	2018
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	100	2018
Information Fusion to Defend Intentional Attack in Internet of Things PY Chen, SM Cheng, KC Chen IEEE Internet of Things Journal, 2014	87	2014
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	78	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	78	2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability K Xu, S Liu, P Zhao, PY Chen, H Zhang, D Erdogmus, Y Wang, X Lin ICLR 2019, 2018	77	2018
Optimal Control of Epidemic Information Dissemination Over Networks PY Chen, SM Cheng, KC Chen IEEE Transactions on Cybernetics, 2014	75	2014
Attacking the Madry defense model with -based adversarial examples Y Sharma, PY Chen ICLR 2018 Workshop, 2017	73*	2017
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization S Liu, B Kailkhura, PY Chen, P Ting, S Chang, L Amini NeurIPS 2018, 2018	65	2018
Word Mover's Embedding: From Word2Vec to Document Embedding L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ... EMNLP 2018, 2018	60	2018

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