Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 702 papers shown

Title
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 24 2 0 05 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 34 26 0 01 Apr 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 52 2 0 31 Mar 2023
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness T. Redgrave Colton R. Crum AAML 29 0 0 30 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 35 12 0 27 Mar 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai H. Chen AAML MedIm 35 16 0 24 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 30 0 0 24 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
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 36 4 0 21 Mar 2023
$Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks$ Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified $\ell_p$ Attacks Ren Wang Yuxuan Li Sijia Liu AAML 26 0 0 17 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 34 0 0 17 Mar 2023
Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization Hikaru Ibayashi Taufeq Mohammed Razakh Liqiu Yang T. Linker M. Olguin ... Ye Luo R. Kalia A. Nakano K. Nomura P. Vashishta 43 9 0 14 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 25 1 0 10 Mar 2023
Defending against Adversarial Audio via Diffusion Model Shutong Wu Jiong Wang Ming-Yu Liu Weili Nie Chaowei Xiao DiffM 37 25 0 02 Mar 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective Zhengbao He Tao Li Sizhe Chen X. Huang AAML 51 4 0 23 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 8 1 0 16 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 23 3 0 14 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 24 208 0 09 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 21 16 0 08 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness Yuancheng Xu Yanchao Sun Micah Goldblum Tom Goldstein Furong Huang AAML 31 37 0 06 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 28 2 0 06 Feb 2023
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification João Vitorino Isabel Praça Eva Maia AAML 37 28 0 30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 35 3 0 30 Jan 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex Terry Yue Zhuo Zhuang Li Yujin Huang Fatemeh Shiri Weiqing Wang Gholamreza Haffari Yuan-Fang Li AAML 34 54 0 30 Jan 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 37 9 0 29 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 36 18 0 29 Jan 2023
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 34 8 0 26 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 41 2 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 27 0 01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli Fahad Shahbaz Khan AAML 28 1 0 30 Dec 2022
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective Shihua Huang Zhichao Lu Kalyanmoy Deb Vishnu Naresh Boddeti OOD 24 41 0 21 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 24 21 0 19 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 27 1 0 16 Dec 2022
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks Nikolaos Antoniou Efthymios Georgiou Alexandros Potamianos AAML 29 5 0 15 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 33 2 0 13 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 26 38 0 11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 29 2 0 11 Dec 2022
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization Lin Li Michael W. Spratling AAML 34 34 0 09 Dec 2022
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 24 4 0 01 Dec 2022
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu Richard Y. Zhang AAML 16 2 0 30 Nov 2022
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory Jin-Lin Tang B. Tao Zeyu Gong Zhoupin Yin AI4CE 34 1 0 30 Nov 2022
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples Inderjeet Singh Kazuya Kakizaki Toshinori Araki AAML OOD 29 0 0 29 Nov 2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning Xiaoyue Duan Guoliang Kang Runqi Wang Shumin Han Shenjun Xue Tian Wang Baochang Zhang 29 2 0 28 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting Muhammad Zaid Hameed Beat Buesser AAML 11 1 0 25 Nov 2022
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 19 39 0 20 Nov 2022
Efficient Adversarial Training with Robust Early-Bird Tickets Zhiheng Xi Rui Zheng Tao Gui Qi Zhang Xuanjing Huang AAML 40 9 0 14 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 35 1 0 10 Nov 2022