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2020 – today
- 2023
[j39]Pin-Yu Chen
, Payel Das:
AI Maintenance: A Robustness Perspective. Computer 56(2): 48-56 (2023)- [j38]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor:
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. IEEE ACM Trans. Audio Speech Lang. Process. 31: 633-642 (2023) - [c148]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Causal Transformer for Noisy Image Classification. WACV 2023: 6128-6139 - [i191]Ria Vinod, Pin-Yu Chen, Payel Das:
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning. CoRR abs/2301.02120 (2023) - [i190]Pin-Yu Chen, Payel Das:
AI Maintenance: A Robustness Perspective. CoRR abs/2301.03052 (2023) - [i189]Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Certified Interpretability Robustness for Class Activation Mapping. CoRR abs/2301.11324 (2023) - [i188]Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu:
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR abs/2302.02922 (2023) - [i187]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen:
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity. CoRR abs/2302.06015 (2023) - [i186]Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal:
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks. CoRR abs/2302.10980 (2023) - [i185]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR abs/2303.01713 (2023) - 2022
- [j37]Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia:
Learning to Design Fair and Private Voting Rules. J. Artif. Intell. Res. 75: 1139-1176 (2022) - [j36]Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das:
Optimizing molecules using efficient queries from property evaluations. Nat. Mach. Intell. 4(1): 21-31 (2022) - [j35]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. IEEE Trans. Signal Process. 70: 4571-4585 (2022) - [c147]Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. AAAI 2022: 2071-2081 - [c146]Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu:
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI 2022: 6926-6934 - [c145]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Zeroth-Order Optimization for Composite Problems with Functional Constraints. AAAI 2022: 7453-7461 - [c144]Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Training a Resilient Q-network against Observational Interference. AAAI 2022: 8814-8822 - [c143]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. AAAI 2022: 12651-12657 - [c142]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. AAAI 2022: 13170-13172 - [c141]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. Big Data 2022: 1495-1504 - [c140]Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao:
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness. ECCV (4) 2022: 654-671 - [c139]Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder:
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF 2022: 480-488 - [c138]Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu:
Real-World Adversarial Examples Via Makeup. ICASSP 2022: 2854-2858 - [c137]Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu:
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. ICASSP 2022: 4398-4402 - [c136]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. ICASSP 2022: 8602-8606 - [c135]Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury:
Analyzing and Improving Resilience and Robustness of Autonomous Systems. ICCAD 2022: 102:1-102:9 - [c134]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. ICLR 2022 - [c133]Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen:
MAML is a Noisy Contrastive Learner in Classification. ICLR 2022 - [c132]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferable Representations. ICLR 2022 - [c131]Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring:
Causal Video Summarizer for Video Exploration. ICME 2022: 1-6 - [c130]Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen:
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning. ICML 2022: 10-32 - [c129]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c128]Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng:
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. ICML 2022: 11387-11412 - [c127]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022: 13014-13051 - [c126]Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh:
CAT: Customized Adversarial Training for Improved Robustness. IJCAI 2022: 673-679 - [c125]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI 2022: 4929-4935 - [c124]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
CARBEN: Composite Adversarial Robustness Benchmark. IJCAI 2022: 5908-5911 - [c123]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC 2022: 283-289 - [c122]Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022). KDD 2022: 4858-4859 - [c121]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT 2022: 587-599 - [c120]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed adversarial training to robustify deep neural networks at scale. UAI 2022: 2353-2363 - [p1]Xiao Jin, Pin-Yu Chen, Tianyi Chen:
Data Leakage in Federated Learning. Federated Learning 2022: 337-361 - [i184]Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR abs/2201.04194 (2022) - [i183]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis. CoRR abs/2201.08514 (2022) - [i182]Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar:
Auto-Transfer: Learning to Route Transferrable Representations. CoRR abs/2202.01011 (2022) - [i181]Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho:
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. CoRR abs/2202.04235 (2022) - [i180]Pin-Yu Chen, Sijia Liu:
Holistic Adversarial Robustness of Deep Learning Models. CoRR abs/2202.07201 (2022) - [i179]Pin-Yu Chen:
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. CoRR abs/2202.10629 (2022) - [i178]Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen:
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR abs/2203.00523 (2022) - [i177]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen:
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing. CoRR abs/2203.03550 (2022) - [i176]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor:
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing. CoRR abs/2203.06031 (2022) - [i175]Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen:
Treatment Learning Transformer for Noisy Image Classification. CoRR abs/2203.15529 (2022) - [i174]Abolaji D. Adesoji, Pin-Yu Chen:
Evaluating the Adversarial Robustness for Fourier Neural Operators. CoRR abs/2204.04259 (2022) - [i173]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. CoRR abs/2205.01094 (2022) - [i172]N. Joseph Tatro, Payel Das, Pin-Yu Chen, Vijil Chenthamarakshan, Rongjie Lai:
Learning Geometrically Disentangled Representations of Protein Folding Simulations. CoRR abs/2205.10423 (2022) - [i171]Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen:
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning. CoRR abs/2206.03996 (2022) - [i170]Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh:
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression. CoRR abs/2206.04804 (2022) - [i169]Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu:
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR abs/2206.06257 (2022) - [i168]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR abs/2206.07839 (2022) - [i167]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
On Certifying and Improving Generalization to Unseen Domains. CoRR abs/2206.12364 (2022) - [i166]Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. CoRR abs/2207.03584 (2022) - [i165]Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho:
CARBEN: Composite Adversarial Robustness Benchmark. CoRR abs/2207.07797 (2022) - [i164]Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson:
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. CoRR abs/2207.08898 (2022) - [i163]Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li:
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM. CoRR abs/2207.10226 (2022) - [i162]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. CoRR abs/2208.05406 (2022) - [i161]Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho:
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. CoRR abs/2209.00005 (2022) - [i160]Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li:
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. CoRR abs/2209.04030 (2022) - [i159]Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen:
Iterative Qubits Management for Quantum Index Searching in a Hybrid System. CoRR abs/2209.11329 (2022) - [i158]Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration. CoRR abs/2209.11604 (2022) - [i157]Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel:
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data. CoRR abs/2210.02989 (2022) - [i156]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i155]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. CoRR abs/2210.06284 (2022) - [i154]Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das:
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling. CoRR abs/2210.07144 (2022) - [i153]Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang:
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. CoRR abs/2210.12873 (2022) - [i152]Elvin Lo, Pin-Yu Chen:
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization. CoRR abs/2210.16099 (2022) - [i151]Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo:
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. CoRR abs/2211.00887 (2022) - [i150]Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao:
Inference and Denoise: Causal Inference-based Neural Speech Enhancement. CoRR abs/2211.01189 (2022) - [i149]Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. CoRR abs/2211.01317 (2022) - [i148]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR abs/2211.11635 (2022) - [i147]Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho:
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration. CoRR abs/2211.16274 (2022) - [i146]Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. CoRR abs/2212.00850 (2022) - [i145]Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
How to Backdoor Diffusion Models? CoRR abs/2212.05400 (2022) - [i144]Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation? CoRR abs/2212.08649 (2022) - [i143]Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma:
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. CoRR abs/2212.08650 (2022) - [i142]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization. CoRR abs/2212.09513 (2022) - 2021
- [j34]Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li:
Editorial: Safe and Trustworthy Machine Learning. Frontiers Big Data 4: 731605 (2021) - [j33]Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen:
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2622-2635 (2021) - [c119]Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. AAAI 2021: 6803-6811 - [c118]Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. AAAI 2021: 7107-7115 - [c117]Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI 2021: 10807-10814 - [c116]Maurício Gruppi, Pin-Yu Chen, Sibel Adali:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. AAAI 2021: 12893-12901 - [c115]Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. AISTATS 2021: 2170-2178 - [c114]Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Hidden Cost of Randomized Smoothing. AISTATS 2021: 4033-4041 - [c113]Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360 Toolkit. COMAD/CODS 2021: 376-379 - [c112]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021: 13244-13253 - [c111]Omid Aramoon, Pin-Yu Chen, Gang Qu:
AID: Attesting the Integrity of Deep Neural Networks. DAC 2021: 19-24 - [c110]Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu:
Domain Adaptation for Learning Generator From Paired Few-Shot Data. ICASSP 2021: 1750-1754 - [c109]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Non-Singular Adversarial Robustness of Neural Networks. ICASSP 2021: 3840-3844 - [c108]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Estimation From Multimodal Data. ICASSP 2021: 5180-5184 - [c107]Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee:
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition. ICASSP 2021: 6523-6527 - [c106]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR 2021 - [c105]Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen:
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. ICML 2021: 1261-1271 - [c104]Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li:
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML 2021: 11372-11382 - [c103]Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen:
Voice2Series: Reprogramming Acoustic Models for Time Series Classification. ICML 2021: 11808-11819 - [c102]Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin:
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. IJCAI 2021: 575-582 - [c101]Pin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, Yung-Ju Chang:
Self-Attentive Recommendation for Multi-Source Review Package. IJCNN 2021: 1-8 - [c100]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Binary Classification of Random Fields. ISIT 2021: 3326-3331 - [c99]Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu:
Leveraging Latent Features for Local Explanations. KDD 2021: 1139-1149 - [c98]Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu:
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021). KDD 2021: 4112-4113 - [c97]Omid Aramoon, Pin-Yu Chen, Gang Qu:
Don't Forget to Sign the Gradients! MLSys 2021 - [c96]Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
The SenSE Toolkit: A System for Visualization and Explanation of Semantic Shift. NeurIPS (Competition and Demos) 2021: 283-287 - [c95]Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen:
Catastrophic Data Leakage in Vertical Federated Learning. NeurIPS 2021: 994-1006 - [c94]Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong:
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks. NeurIPS 2021: 2707-2720 - [c93]Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Best Arm Identification in Contaminated Stochastic Bandits. NeurIPS 2021: 9651-9662 - [c92]Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li:
Adversarial Attack Generation Empowered by Min-Max Optimization. NeurIPS 2021: 16020-16033 - [c91]Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm:
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. NeurIPS 2021: 17347-17359 - [c90]Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen:
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations. NeurIPS 2021: 19692-19704 - [c89]Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen:
Predicting Deep Neural Network Generalization with Perturbation Response Curves. NeurIPS 2021: 21176-21188 - [c88]Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan:
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021: 21480-21492 - [i141]Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh:
Robust Text CAPTCHAs Using Adversarial Examples. CoRR abs/2101.02483 (2021) - [i140]Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei:
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records. CoRR abs/2101.04853 (2021) - [i139]