Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 702 papers shown

Title
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning Hana Satou Alan Mitkiy AAML 2 0 0 19 May 2025
Two out of Three (ToT): using self-consistency to make robust predictions Jung Hoon Lee Sujith Vijayan OOD 7 0 0 19 May 2025
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang Elvin Li T. Rosing AAML 42 0 0 17 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing Zhu Li Tianchen Zhao Xiang Xu Zheng Zhang Zhihua Li Xuanbai Chen Q. Zhang Alessandro Bergamo Anil K. Jain Yifan Xing 37 0 0 29 Mar 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Rihao Li Meng Hu Wenhui Wu Yuheng Jia AAML 82 0 0 26 Mar 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision Xiaofeng Mao YueFeng Chen Rong Zhang Hui Xue Zhao Li Hang Su AAML VLM 43 0 0 21 Mar 2025
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 95 0 0 18 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 65 0 0 08 Mar 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP Songlong Xing Zhengyu Zhao N. Sebe AAML 62 1 0 05 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 46 0 0 28 Feb 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness Zekun Wang Mingyang Yi Shuchen Xue Zhiyu Li Ming Liu Bing Qin Zhi-Ming Ma DiffM 42 0 0 24 Feb 2025
EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models Nastaran Darabi Devashri Naik Sina Tayebati Dinithi Jayasuriya Ranganath Krishnan A. R. Trivedi AAML 52 0 0 24 Feb 2025
Unified Prompt Attack Against Text-to-Image Generation Models Duo Peng Qiuhong Ke Mark He Huang Ping Hu Xiaozhong Liu 50 0 0 23 Feb 2025
Enhancing Adversarial Transferability via Component-Wise Transformation Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang Donglin Wang AAML 52 0 0 21 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 46 2 0 08 Jan 2025
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 32 0 0 31 Dec 2024
Sample Correlation for Fingerprinting Deep Face Recognition Jiyang Guan Jian Liang Yanbo Wang Ran He AAML 33 0 0 31 Dec 2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 39 0 0 31 Dec 2024
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Yichen Wang Yuxuan Chou Ziqi Zhou Hangtao Zhang Wei Wan Shengshan Hu Minghui Li AAML 117 3 0 22 Dec 2024
Holistic Adversarially Robust Pruning Qi Zhao Christian Wressnegger 85 8 0 19 Dec 2024
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance Chen-Wei Chang Shailik Sarkar Shutonu Mitra Qi Zhang Hossein Salemi Hemant Purohit Fengxiu Zhang Michin Hong Jin-Hee Cho Chang-Tien Lu 76 2 0 01 Dec 2024
RED: Robust Environmental Design Jinghan Yan AAML 80 0 0 26 Nov 2024
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation Yi Ran Zhichang Guo Jia Li Yao Li Martin Burger Boying Wu DiffM 68 0 0 24 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 52 1 0 05 Nov 2024
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs Xiaoqing Chen Ziwei Wang Dongrui Wu AAML 46 9 0 04 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 36 0 0 03 Nov 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 26 3 0 29 Oct 2024
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness David Khachaturov Robert D. Mullins AAML 36 0 0 24 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 60 7 0 14 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 30 2 0 11 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models Aye Phyu Phyu Aung Xinrun Wang Ruiyu Wang Hau Chan Bo An Xiaoli Li J. Senthilnath AAML 21 0 0 07 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 38 1 0 02 Oct 2024
SHEATH: Defending Horizontal Collaboration for Distributed CNNs against Adversarial Noise Muneeba Asif Mohammad Kumail Kazmi M. Rahman S. R. Hasan Soamar Homsi AAML 23 0 0 25 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 62 6 0 25 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 39 2 0 20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 35 0 0 19 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Zhiming Luo Shaozi Li AAML 34 0 0 12 Aug 2024
Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness Xiaojing Fan Chunliang Tao AAML 39 28 0 08 Aug 2024
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems Renzhi Wang Zhehua Zhou Jiayang Song Xuan Xie Xiaofei Xie Lei Ma 40 1 0 07 Aug 2024
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning Maisha Binte Rashid Pablo Rivas 23 2 0 30 Jul 2024
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset Yi Sheng Junhuan Yang Jinyang Li James Alaina Xiaowei Xu Yiyu Shi Jingtong Hu Weiwen Jiang Lei Yang 36 0 0 18 Jul 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 37 0 0 18 Jul 2024
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin AAML 62 2 0 17 Jul 2024
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks Danish Gufran Pooja Anandathirtha S. Pasricha AAML 35 1 0 14 Jul 2024
Deep Adversarial Defense Against Multilevel-Lp Attacks Ren Wang Yuxuan Li Alfred Hero AAML 16 0 0 12 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Mian AAML 37 1 0 05 Jul 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models Xu Han Linghao Jin Xuezhe Ma Xiaofeng Liu AAML 38 3 0 02 Jul 2024