Adversarial Logit Pairing

16 March 2018

Papers citing "Adversarial Logit Pairing"

50 / 405 papers shown

Title
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 35 16 0 23 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 19 14 0 18 Jun 2022
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Mingming Gong Tongliang Liu OOD 11 56 0 17 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 24 12 0 13 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 19 2 0 08 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 17 6 0 08 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 39 18 0 08 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 29 11 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Bernard Ghanem AAML FedML 18 7 0 06 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Zhibo Wang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 27 1 0 05 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing OOD 19 15 0 04 Jun 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 34 9 0 23 May 2022
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation Chang-Hu Jin Shigui Qiu Nini Xiao Hao Jia 6 7 0 10 May 2022
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges Zhenghua Chen Min-man Wu Alvin Chan Xiaoli Li Yew-Soon Ong 14 6 0 08 May 2022
Formulating Robustness Against Unforeseen Attacks Sihui Dai Saeed Mahloujifar Prateek Mittal OOD AAML 18 8 0 28 Apr 2022
"That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks Edoardo Mosca Shreyash Agarwal Javier Rando Georg Groh AAML 25 30 0 10 Apr 2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation Yuyang Zhao Zhun Zhong Na Zhao N. Sebe G. Lee 39 99 0 06 Apr 2022
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition Jianfei Yang Han Zou Lihua Xie AAML HAI 22 20 0 04 Apr 2022
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin AAML 23 13 0 25 Mar 2022
Self-Ensemble Adversarial Training for Improved Robustness Hongjun Wang Yisen Wang OOD AAML 11 48 0 18 Mar 2022
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training Adir Rahamim I. Naeh AAML 22 1 0 16 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML OOD 12 3 0 16 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 47 131 0 13 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 26 47 0 11 Mar 2022
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis Yaogong Feng Xiaowen Huang Pengbo Yang Jian Yu Jitao Sang DiffM 24 29 0 10 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 181 67 0 28 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 18 2 0 25 Feb 2022
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling Zhi-Yuan Zhang Di Liu AAML 9 1 0 24 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 24 119 0 21 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation Shao-Yuan Lo Vishal M. Patel AAML 27 8 0 18 Feb 2022
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 13 1 0 18 Feb 2022
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods Mohit Wadhwa Mohan Bhambhani Ashvini Jindal Uma Sawant Ramanujam Madhavan 11 4 0 04 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 32 41 0 02 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 27 2 0 02 Feb 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 30 1 0 29 Jan 2022
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 23 0 0 23 Dec 2021
Improving Robustness with Image Filtering M. Terzi Mattia Carletti Gian Antonio Susto AAML 24 0 0 21 Dec 2021
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework Ching-Yun Ko Jeet Mohapatra Sijia Liu Pin-Yu Chen Lucani E. Daniel Lily Weng SSL 25 11 0 08 Dec 2021
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather Jialu Wang Muhamad Risqi U. Saputra C. Lu Niki Trigon Andrew Markham 28 2 0 05 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness Jia-Li Yin Lehui Xie Wanqing Zhu Ximeng Liu Bo-Hao Chen TTA AAML 19 3 0 01 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 24 19 0 25 Nov 2021
Data Augmentation Can Improve Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 17 269 0 09 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 11 118 0 01 Nov 2021
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach A. Sarkar Anirban Sarkar Sowrya Gali V. Balasubramanian AAML 27 7 0 30 Oct 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
Improving Local Effectiveness for Global robust training Jingyue Lu M. P. Kumar AAML 24 0 0 26 Oct 2021
A Frequency Perspective of Adversarial Robustness Shishira R. Maiya Max Ehrlich Vatsal Agarwal Ser-Nam Lim Tom Goldstein Abhinav Shrivastava AAML 23 38 0 26 Oct 2021
Robustness through Data Augmentation Loss Consistency Tianjian Huang Shaunak Halbe Chinnadhurai Sankar P. Amini Satwik Kottur A. Geramifard Meisam Razaviyayn Ahmad Beirami OOD 37 8 0 21 Oct 2021
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation Yao Qin Chiyuan Zhang Ting Chen Balaji Lakshminarayanan Alex Beutel Xuezhi Wang ViT 50 42 0 15 Oct 2021