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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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On the Limitations of Denoising Strategies as Adversarial Defenses

Dec 17, 2020
Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi


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Provably Robust Metric Learning

Jun 12, 2020
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh


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Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data

May 11, 2020
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang


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Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Dec 07, 2019
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Jinfeng Yi


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Symmetric Cross Entropy for Robust Learning with Noisy Labels

Aug 16, 2019
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

* ICCV2019 

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Characterizing Attacks on Deep Reinforcement Learning

Jul 24, 2019
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song


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Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points

Jul 02, 2019
Zhibin Li, Jian Zhang, Qiang Wu, Yongshun Gong, Jinfeng Yi, Christina Kirsch

* Accepted by KDD2019 Applied Data Science track 

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Defending Against Adversarial Attacks Using Random Forests

Jun 16, 2019
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong


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Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation

Jun 10, 2019
Dong-Dong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou


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Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective

Jun 10, 2019
Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, Cho-Jui Hsieh


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Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss

May 28, 2019
Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang


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Inferring the Importance of Product Appearance: A Step Towards the Screenless Revolution

May 18, 2019
Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou

* We want to withdraw this paper. there are some insufficient explanations and bad figure presentation 

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How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning

Apr 24, 2019
Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song

* The first three authors contributed equally. Accepted by AAMAS 2019 

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A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks

Nov 27, 2018
Jinghui Chen, Jinfeng Yi, Quanquan Gu

* 25 pages, 5 figures, 10 tables 

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Random Warping Series: A Random Features Method for Time-Series Embedding

Sep 14, 2018
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

* AIStats18, Oral Paper, Add code link for generating RWS 

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Query-Efficient Black-Box Attack by Active Learning

Sep 13, 2018
Pengcheng Li, Jinfeng Yi, Lijun Zhang

* 9 pages 

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Towards Query Efficient Black-box Attacks: An Input-free Perspective

Sep 09, 2018
Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao

* Accepted by 11th ACM Workshop on Artificial Intelligence and Security (AISec) with the 25th ACM Conference on Computer and Communications Security (CCS) 

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AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

Sep 06, 2018
Chun-Chen Tu, Paishun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng

* Chun-Chen Tu, Paishun Ting and Pin-Yu Chen contribute equally to this work 

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Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions

Sep 04, 2018
Zaiyi Chen, Tianbao Yang, Jinfeng Yi, Bowen Zhou, Enhong Chen

* added some new results 

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Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

Aug 05, 2018
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao

* Accepted by the European Conference on Computer Vision (ECCV) 2018 

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Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions

Jul 18, 2018
Adnan Siraj Rakin, Jinfeng Yi, Boqing Gong, Deliang Fan


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Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Jul 12, 2018
Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh


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Matrix Completion from Non-Uniformly Sampled Entries

Jun 27, 2018
Yuanyu Wan, Jinfeng Yi, Lijun Zhang


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Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification

Jun 20, 2018
Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu

* Accepted by IJCAI 2018, Code is available 

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Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

May 22, 2018
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh

* Accepted by 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). Hongge Chen and Huan Zhang contribute equally to this work 

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Edge Attention-based Multi-Relational Graph Convolutional Networks

May 20, 2018
Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, Jinbo Bi

* Haven't meet my expectations 

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Diverse Few-Shot Text Classification with Multiple Metrics

May 19, 2018
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou

* NAACL 2018. 11+5 pages. arXiv admin note: text overlap with arXiv:1708.07918 

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Robust Task Clustering for Deep Many-Task Learning

May 18, 2018
Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou


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Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

Mar 03, 2018
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh


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