Adversarial Logit Pairing

16 March 2018

Papers citing "Adversarial Logit Pairing"

50 / 405 papers shown

Title
PRAT: PRofiling Adversarial aTtacks Rahul Ambati Naveed Akhtar Ajmal Saeed Mian Y. S. Rawat AAML 18 1 0 20 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 23 4 0 09 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 27 0 0 03 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff Satoshi Suzuki Shinýa Yamaguchi Shoichiro Takeda Sekitoshi Kanai Naoki Makishima Atsushi Ando Ryo Masumura AAML 30 4 0 31 Aug 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation Lingdong Kong Yaru Niu Shaoyuan Xie Hanjiang Hu Lai Xing Ng ... Zhenyu Li Runze Chen Haiyong Luo Fang Zhao Jing Yu 28 13 0 27 Jul 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering Anselm Krainovic Mahdi Soltanolkotabi Reinhard Heckel OOD 22 6 0 24 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 17 2 0 14 Jul 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang Dinghuai Zhang Yihan Wu Heng Huang Hongyang R. Zhang AAML 23 1 0 27 Jun 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 19 3 0 27 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 40 0 0 25 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 66 12 0 19 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 26 0 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 25 1 0 13 Jun 2023
Label Smoothing is Robustification against Model Misspecification Ryoya Yamasaki Toshiyuki Tanaka 14 0 0 15 May 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 23 275 0 14 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 21 26 0 01 Apr 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 19 3 0 29 Mar 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 19 4 0 27 Mar 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He Xin Liu Yichen Yang Zhou Qin Weigao Wen Hui Xue J. Hopcroft AAML 24 0 0 24 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 41 18 0 24 Mar 2023
Decentralized Adversarial Training over Graphs Ying Cao Elsa Rizk Stefan Vlaski A. H. Sayed AAML 35 1 0 23 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 21 0 0 21 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 38 34 0 19 Mar 2023
Improving Adversarial Robustness with Hypersphere Embedding and Angular-based Regularizations Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 14 5 0 15 Mar 2023
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning Jin Ding Jie-Chao Zhao Yongyang Sun Ping Tan Ji-en Ma You-tong Fang AAML 24 1 0 11 Mar 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 35 34 0 19 Feb 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 26 2 0 19 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 34 0 0 04 Jan 2023
Human-Guided Fair Classification for Natural Language Processing Florian E.Dorner Momchil Peychev Nikola Konstantinov Naman Goel Elliott Ash Martin Vechev FaML 19 3 0 20 Dec 2022
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization Yuyang Zhao Zhun Zhong Na Zhao N. Sebe G. Lee 27 29 0 18 Dec 2022
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation Wan-Xuan Zhu Jia-Li Yin Bo-Hao Chen Ximeng Liu 25 6 0 12 Dec 2022
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 35 5 0 22 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 41 10 0 19 Nov 2022
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses A. Kolli M. Jehanzeb Mirza Horst Possegger Horst Bischof AAML 25 1 0 10 Nov 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 21 11 0 26 Oct 2022
Revisiting adapters with adversarial training Sylvestre-Alvise Rebuffi Francesco Croce Sven Gowal AAML 36 16 0 10 Oct 2022
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 33 7 0 03 Oct 2022
Improving Robustness with Adaptive Weight Decay Amin Ghiasi Ali Shafahi R. Ardekani OOD 17 7 0 30 Sep 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 16 5 0 30 Sep 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 28 18 0 28 Sep 2022
Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals Ferhat Ozgur Catak Murat Kuzlu S. Sarp Evren Çatak Umit Cali AAML 20 3 0 27 Sep 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 23 6 0 06 Sep 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 39 1 0 19 Aug 2022
Robust Scene Inference under Noise-Blur Dual Corruptions Bhavya Goyal Jean-François Lalonde Yin Li Mohit Gupta NoLa 18 1 0 24 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 25 37 0 18 Jul 2022
Adversarial Contrastive Learning via Asymmetric InfoNCE Qiying Yu Jieming Lou Xianyuan Zhan Qizhang Li W. Zuo Yang Liu Jingjing Liu AAML 28 23 0 18 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 19 1 0 11 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 8 3 0 09 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 26 28 0 05 Jul 2022
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 30 7 0 01 Jul 2022