Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 702 papers shown

Title
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika Long Phan Xuwang Yin Andy Zou Zifan Wang ... Nathaniel Li Steven Basart Bo Li David A. Forsyth Dan Hendrycks AAML 26 320 0 06 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 24 6 0 03 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 49 23 0 27 Jan 2024
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 28 0 0 24 Jan 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks Ben Batten Mehran Hosseini A. Lomuscio AAML 19 5 0 21 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos V. Cevher AAML 32 6 0 21 Jan 2024
Revisiting Adversarial Training at Scale Zeyu Wang Xianhang Li Hongru Zhu Cihang Xie 34 15 0 09 Jan 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Sibo Wang Jie Zhang Zheng Yuan Shiguang Shan VLM 36 18 0 09 Jan 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training Khoi M. Le Trinh Pham Tho Quan A. Luu 19 7 0 09 Jan 2024
FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision Transformers Zheng Yuan Jie Zhang Shiguang Shan 52 2 0 03 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 25 5 0 02 Jan 2024
Universal Pyramid Adversarial Training for Improved ViT Performance Ping Yeh-Chiang Yipin Zhou Omid Poursaeed S. Narayan Shukla Tom Goldstein Ser-Nam Lim AAML ViT 16 0 0 26 Dec 2023
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 30 14 0 13 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 20 9 0 11 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 35 0 0 08 Dec 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 28 0 0 28 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 24 3 0 27 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 27 2 0 26 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 32 3 0 18 Nov 2023
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation Lukas Tuggener Thilo Stadelmann Jürgen Schmidhuber OOD 21 1 0 14 Nov 2023
On the Robustness of Neural Collapse and the Neural Collapse of Robustness Jingtong Su Ya Shi Zhang Nikolaos Tsilivis Julia Kempe AAML 34 4 0 13 Nov 2023
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches Jianan Feng Jiachun Li Changqing Miao Jianjun Huang Wei You Wenchang Shi Bin Liang AAML 30 0 0 10 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
Universal Perturbation-based Secret Key-Controlled Data Hiding Donghua Wang Wenbiao Yao Tingsong Jiang Xiaoqian Chen AAML 24 0 0 03 Nov 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 24 9 0 24 Oct 2023
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization Yaohua Liu Jiaxin Gao Xianghao Jiao Zhu Liu Xin-Yue Fan Risheng Liu AAML 43 0 0 19 Oct 2023
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception Yangheng Zhao Zhen Xiang Sheng Yin Xianghe Pang Siheng Chen Yanfeng Wang AAML 29 6 0 18 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks Yue Cao Tianlin Li Xiaofeng Cao Ivor Tsang Yang Liu Qing Guo AAML 26 2 0 18 Oct 2023
Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking Yang Wu Shenglong Hu Huihui Song Kaihua Zhang Bo Liu Dong Liu 28 0 0 16 Oct 2023
Provably Robust Cost-Sensitive Learning via Randomized Smoothing Yuan Xin Michael Backes Xiao Zhang AAML 20 0 0 12 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 46 215 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 40 4 0 03 Oct 2023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples Jia-Yu Yao Kun-Peng Ning Zhen-Hui Liu Munan Ning Li Yuan HILM LRM AAML 26 169 0 02 Oct 2023
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks Mehrdad Saberi Vinu Sankar Sadasivan Keivan Rezaei Aounon Kumar Atoosa Malemir Chegini Wenxiao Wang S. Feizi WIGM AAML 34 40 0 29 Sep 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Zenan Li Fan Nie Q. Sun Fang Da Hang Zhao OffRL 23 3 0 28 Sep 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 26 8 0 28 Sep 2023
Language Guided Adversarial Purification Himanshu Singh A. V. Subramanyam AAML 49 2 0 19 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 16 1 0 11 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness Hong Wang Yuefan Deng Shinjae Yoo Yuewei Lin AAML 28 4 0 09 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings AprilPyone Maungmaung Isao Echizen Hitoshi Kiya AAML 28 2 0 04 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 32 0 0 03 Sep 2023
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training Xingyuan Li Jinyuan Liu Long Ma Xin-Yue Fan Risheng Liu AAML 27 3 0 03 Sep 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models Neel Jain Avi Schwarzschild Yuxin Wen Gowthami Somepalli John Kirchenbauer Ping Yeh-Chiang Micah Goldblum Aniruddha Saha Jonas Geiping Tom Goldstein AAML 60 340 0 01 Sep 2023
Fast Adversarial Training with Smooth Convergence Mengnan Zhao L. Zhang Yuqiu Kong Baocai Yin AAML 27 8 0 24 Aug 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 34 8 0 22 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Xiaojun Jia YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 19 9 0 22 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 20 6 0 20 Aug 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang Ruisi Cai Tianlong Chen Guanhua Zhang Huan Zhang Pin-Yu Chen Shiyu Chang Zhangyang Wang Sijia Liu MoE AAML OOD 34 16 0 19 Aug 2023