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Pin-Yu Chen

Real-World Adversarial Examples involving Makeup Application


Sep 04, 2021
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu

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Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning


Jul 08, 2021
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

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MAML is a Noisy Contrastive Learner


Jun 29, 2021
Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen

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* 15 pages, 11 figures 
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Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design


Jun 24, 2021
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen

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* ICML 2021 
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Voice2Series: Reprogramming Acoustic Models for Time Series Classification


Jun 17, 2021
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen

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* Accepted to ICML 2021, 16 Pages 
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CRFL: Certifiably Robust Federated Learning against Backdoor Attacks


Jun 15, 2021
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

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* ICML 2021 
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Predicting Deep Neural Network Generalization with Perturbation Response Curves


Jun 09, 2021
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

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* arXiv admin note: substantial text overlap with arXiv:2104.03469 
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Simple Transparent Adversarial Examples


May 20, 2021
Jaydeep Borkar, Pin-Yu Chen

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* 14 pages, 9 figures, Published at ICLR 2021 Workshop on Security and Safety in Machine Learning Systems 
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Vision Transformers are Robust Learners


May 18, 2021
Sayak Paul, Pin-Yu Chen

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High-Robustness, Low-Transferability Fingerprinting of Neural Networks


May 14, 2021
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

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* ICLR 2021 Workshop on Security and Safety in Machine Learning Systems 
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ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training


Apr 21, 2021
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan

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* NeurIPS2020 accepted https://proceedings.neurips.cc/paper/2020/hash/9d58963592071dbf38a0fa114269959c-Abstract.html 
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Gi and Pal Scores: Deep Neural Network Generalization Statistics


Apr 08, 2021
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

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* Accepted to RobustML Workshop at ICLR 2021 
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Towards creativity characterization of generative models via group-based subset scanning


Apr 01, 2021
Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen

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* Synthetic Data Generation Workshop at ICLR'21 
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On the Adversarial Robustness of Visual Transformers


Mar 29, 2021
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

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Don't Forget to Sign the Gradients!


Mar 05, 2021
Omid Aramoon, Pin-Yu Chen, Gang Qu

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* Accepted to MLSys 2021 
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Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples


Mar 04, 2021
Washington Garcia, Pin-Yu Chen, Somesh Jha, Scott Clouse, Kevin R. B. Butler

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* Preprint 
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Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations


Mar 03, 2021
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen

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Adversarial Examples for Unsupervised Machine Learning Models


Mar 02, 2021
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu

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Domain Adaptation for Learning Generator from Paired Few-Shot Data


Feb 25, 2021
Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu

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* accepted in ICASSP 2021 
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Non-Singular Adversarial Robustness of Neural Networks


Feb 23, 2021
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen

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On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning


Feb 20, 2021
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang

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Causal Inference Q-Network: Toward Resilient Reinforcement Learning


Feb 18, 2021
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen

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* Preprint. A Non-archival and preliminary venue was accepted to NeurIPS 2019 Safety and Robustness in Decision-making Workshop 
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Meta Federated Learning


Feb 10, 2021
Omid Aramoon, Pin-Yu Chen, Gang Qu, Yuan Tian

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* 11 pages, 5 figures 
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Fast Training of Provably Robust Neural Networks by SingleProp


Feb 01, 2021
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel

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* Published at AAAI 2021 
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Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning


Feb 01, 2021
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

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* Accepted in AAAI 2021 
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Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks


Jan 30, 2021
Maurício Gruppi, Sibel Adalı, Pin-Yu Chen

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* Published at AAAI-2021 
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Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records


Jan 13, 2021
Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei

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Robust Text CAPTCHAs Using Adversarial Examples


Jan 07, 2021
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh

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Reprogramming Language Models for Molecular Representation Learning


Jan 06, 2021
Ria Vinod, Pin-Yu Chen, Payel Das

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* 6 pages, 5 tables, accepted at Learning Meaningful Representations of Life @ NeurIPS 2020, Women in Machine Learning @ NeurIPS 2020. 8 pages, LaTeX; typos corrected, references added 
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Self-Progressing Robust Training


Dec 22, 2020
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

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* Accepted in AAAI2021 
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