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Pin-Yu Chen

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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Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework


Dec 21, 2020
Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney

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* 27 pages, 3 figures 
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SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change


Dec 02, 2020
Maurício Gruppi, Sibel Adali, Pin-Yu Chen

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How Robust are Randomized Smoothing based Defenses to Data Poisoning?


Dec 02, 2020
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm

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Optimizing Molecules using Efficient Queries from Property Evaluations


Nov 03, 2020
Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das

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Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition


Oct 26, 2020
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee

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* Preprint. Code will be provided in December at https://github.com/huckiyang/speech_quantum_dl 
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Higher-Order Certification for Randomized Smoothing


Oct 13, 2020
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel

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* Accepted to NeurIPS2020(spotlight) 
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Optimizing Mode Connectivity via Neuron Alignment


Sep 05, 2020
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai

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* 24 pages, 9 figures, code available at https://github.com/IBM/NeuronAlignment 
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Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases


Jul 31, 2020
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang

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Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources


Jul 29, 2020
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho

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Proper Network Interpretability Helps Adversarial Robustness in Classification


Jun 26, 2020
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel

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* 22 pages, 9 figures, Published at ICML 2020 
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Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case


Jun 25, 2020
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

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* International Conference on Machine Learning (ICML 2020) 
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A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm


Jun 23, 2020
Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito

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A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning


Jun 21, 2020
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred Hero, Pramod K. Varshney

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* IEEE Signal Processing Magazine 
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