Adversarial Logit Pairing

16 March 2018

Papers citing "Adversarial Logit Pairing"

50 / 405 papers shown

Title
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 51 3 0 01 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 32 4 0 16 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 27 5 0 13 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip H. S. Torr Dacheng Tao VLM AAML 26 106 0 11 Sep 2021
Robustness and Generalization via Generative Adversarial Training Omid Poursaeed Tianxing Jiang Harry Yang Serge J. Belongie SerNam Lim OOD AAML 16 26 0 06 Sep 2021
Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks Landan Seguin A. Ndirango Neeli Mishra SueYeon Chung Tyler Lee OOD 20 2 0 26 Aug 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du Bo Chen Tat-Jun Chin Yee Wei Law Michele Sasdelli Ramesh Rajasegaran Dillon Campbell AAML 18 60 0 26 Aug 2021
Bridged Adversarial Training Hoki Kim Woojin Lee Sungyoon Lee Jaewook Lee AAML GAN 13 9 0 25 Aug 2021
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks N. Mirnateghi Syed Afaq Ali Shah Bennamoun BDL AAML 12 2 0 23 Aug 2021
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning Hong Wang Yuefan Deng Shinjae Yoo Haibin Ling Yuewei Lin AAML 19 15 0 13 Aug 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks Zitao Chen Pritam Dash Karthik Pattabiraman AAML 13 18 0 11 Aug 2021
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 8 2 0 10 Aug 2021
Improving Counterfactual Generation for Fair Hate Speech Detection Aida Mostafazadeh Davani Ali Omrani Brendan Kennedy M. Atari Xiang Ren Morteza Dehghani 24 9 0 03 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 17 44 0 03 Aug 2021
Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders Huimin Zeng Jiahao Su Furong Huang AAML 14 4 0 01 Aug 2021
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones Ke Cheng Christopher Healey Tianfu Wu AAML OOD 11 2 0 31 Jul 2021
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning Yihao Huang Qing-Wu Guo Felix Juefei Xu L. Ma Weikai Miao Yang Liu G. Pu AAML 19 14 0 14 Jul 2021
Improving Model Robustness with Latent Distribution Locally and Globally Zhuang Qian Shufei Zhang Kaizhu Huang Qiufeng Wang Rui Zhang Xinping Yi AAML 19 13 0 08 Jul 2021
Generalization Error Analysis of Neural networks with Gradient Based Regularization Lingfeng Li X. Tai Jiang Yang 11 4 0 06 Jul 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 25 273 0 29 Jun 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang 9 32 0 21 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 24 21 0 17 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 22 10 0 14 Jun 2021
ATRAS: Adversarially Trained Robust Architecture Search Yigit Can Alparslan Edward J. Kim OOD AAML 15 1 0 13 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 15 13 0 12 Jun 2021
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 23 83 0 24 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks Cong Xu Xiang Li Min Yang AAML 11 15 0 19 May 2021
Sparta: Spatially Attentive and Adversarially Robust Activation Qing-Wu Guo Felix Juefei Xu Changqing Zhou Wei Feng Yang Liu Song Wang AAML 19 4 0 18 May 2021
Biometrics: Trust, but Verify Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 28 79 0 14 May 2021
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 4 2 0 10 May 2021
Improving Robustness for Pose Estimation via Stable Heatmap Regression Yumeng Zhang Li Chen Yufeng Liu Xiaoyan Guo Wen Zheng Junhai Yong 19 4 0 08 May 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 6 1 0 20 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 27 65 0 09 Apr 2021
Adversarial Robustness under Long-Tailed Distribution Tong Wu Ziwei Liu Qingqiu Huang Yu Wang Dahua Lin 18 76 0 06 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 20 1 0 05 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 32 11 0 01 Apr 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng Xiao Yang Shizhen Xu Hang Su Jun Zhu BDL AAML 10 61 0 27 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale Zuxuan Wu Tom Goldstein L. Davis Ser-Nam Lim AAML GAN 21 1 0 25 Mar 2021
Individually Fair Ranking Amanda Bower Hamid Eftekhari Mikhail Yurochkin Yuekai Sun FaML 21 11 0 19 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jiezhang Cao Jian Chen Mingkui Tan Yang Xiang AAML 11 4 0 13 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jiezhang Cao Yifan Zhang Jian Chen Mingkui Tan AAML 29 2 0 13 Mar 2021
Wasserstein Robust Classification with Fairness Constraints Yijie Wang Viet Anh Nguyen G. A. Hanasusanto OOD 9 10 0 11 Mar 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim S. Hwang Jinwoo Shin AAML 31 57 0 08 Mar 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification Shuhei M. Yoshida Takashi Takenouchi Masashi Sugiyama 9 2 0 04 Mar 2021
Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks Zhiqun Zhao Hengyou Wang Hao Sun Zhihai He AAML 6 0 0 04 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 11 101 0 03 Mar 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 27 268 0 02 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 19 5 0 28 Feb 2021
Robust SleepNets Yigit Can Alparslan Edward J. Kim AAML 20 1 0 24 Feb 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 11 9 0 24 Feb 2021