Adversarial Logit Pairing

16 March 2018

Papers citing "Adversarial Logit Pairing"

50 / 405 papers shown

Title
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 8 961 0 29 Nov 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 6 157 0 25 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 28 564 0 21 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 32 13 0 20 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 20 7 0 16 Nov 2019
Self-supervised Adversarial Training Kejiang Chen Hang Zhou YueFeng Chen Xiaofeng Mao Yuhong Li Yuan He Hui Xue Weiming Zhang Nenghai Yu GAN SSL 19 23 0 15 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 13 103 0 13 Nov 2019
Improving Robustness of Task Oriented Dialog Systems Arash Einolghozati Sonal Gupta Mrinal Mohit Rushin Shah 33 22 0 12 Nov 2019
Towards Learning Structure via Consensus for Face Segmentation and Parsing I. Masi Joe Mathai Wael AbdAlmageed CVBM 19 16 0 03 Nov 2019
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? Ali Shafahi Amin Ghiasi Furong Huang Tom Goldstein AAML 19 39 0 25 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 39 88 0 21 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 52 101 0 16 Oct 2019
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications M. Terzi Gian Antonio Susto Pratik Chaudhari OOD AAML 9 15 0 08 Oct 2019
Adversarial Examples for Cost-Sensitive Classifiers Mahdi Akbari Zarkesh A. Lohn Ali Movaghar SILM AAML 17 3 0 04 Oct 2019
Predicting with High Correlation Features Devansh Arpit Caiming Xiong R. Socher OODD OOD 12 7 0 01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 24 91 0 29 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 24 18 0 27 Sep 2019
Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity Chongzhi Zhang Aishan Liu Xianglong Liu Yitao Xu Hang Yu Yuqing Ma Tianlin Li AAML 17 19 0 16 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation Zudi Lin Hanspeter Pfister Ziming Zhang AAML 6 2 0 13 Sep 2019
Structural Robustness for Deep Learning Architectures Carlos Lassance Vincent Gripon Jian Tang Antonio Ortega OOD 19 2 0 11 Sep 2019
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 14 100 0 10 Sep 2019
Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini Eric Wong J. Zico Kolter OOD AAML 13 150 0 09 Sep 2019
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 17 183 0 03 Sep 2019
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing Dou Goodman Xingjian Li Ji Liu Jun Huan Tao Wei AAML 12 7 0 23 Aug 2019
Benchmarking the Robustness of Semantic Segmentation Models Christoph Kamann Carsten Rother VLM UQCV 14 160 0 14 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 10 3 0 05 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 21 230 0 24 Jul 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 24 104 0 19 Jul 2019
Connecting Lyapunov Control Theory to Adversarial Attacks Arash Rahnama A. Nguyen Edward Raff AAML 14 6 0 17 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models Emin Orhan VLM 11 30 0 17 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen R. Pfohl Tony Duan D. Ding N. Shah OOD CML 20 57 0 14 Jul 2019
Accurate, reliable and fast robustness evaluation Wieland Brendel Jonas Rauber Matthias Kümmerer Ivan Ustyuzhaninov Matthias Bethge AAML OOD 11 111 0 01 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 11 119 0 28 Jun 2019
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 12 2 0 27 Jun 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness Fanny Yang Zuowen Wang C. Heinze-Deml 20 42 0 26 Jun 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya-Qin Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 29 5 0 26 Jun 2019
Intriguing properties of adversarial training at scale Cihang Xie Alan Yuille AAML 6 68 0 10 Jun 2019
Improved Adversarial Robustness via Logit Regularization Methods Cecilia Summers M. Dinneen AAML 14 7 0 10 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks Maksym Andriushchenko Matthias Hein 20 61 0 08 Jun 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 15 2 0 05 Jun 2019
Adversarially Robust Generalization Just Requires More Unlabeled Data Runtian Zhai Tianle Cai Di He Chen Dan Kun He J. Hopcroft Liwei Wang 9 154 0 03 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 26 741 0 31 May 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 13 77 0 27 May 2019
Regula Sub-rosa: Latent Backdoor Attacks on Deep Neural Networks Yuanshun Yao Huiying Li Haitao Zheng Ben Y. Zhao AAML 19 13 0 24 May 2019
Adversarially Robust Distillation Micah Goldblum Liam H. Fowl S. Feizi Tom Goldstein AAML 6 201 0 23 May 2019
A Direct Approach to Robust Deep Learning Using Adversarial Networks Huaxia Wang Chun-Nam Yu GAN AAML OOD 8 77 0 23 May 2019
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning Z. Din P. Tigas Samuel T. King B. Livshits VLM 28 29 0 17 May 2019
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models M. Singh Abhishek Sinha Nupur Kumari Harshitha Machiraju Balaji Krishnamurthy V. Balasubramanian AAML 11 60 0 13 May 2019
Moving Target Defense for Deep Visual Sensing against Adversarial Examples Qun Song Zhenyu Yan Rui Tan AAML 10 20 0 11 May 2019
Interpreting and Evaluating Neural Network Robustness Fuxun Yu Zhuwei Qin Chenchen Liu Liang Zhao Yanzhi Wang Xiang Chen AAML 15 54 0 10 May 2019