Fast is better than free: Revisiting adversarial training

12 January 2020

J. Zico Kolter

Papers citing "Fast is better than free: Revisiting adversarial training"

50 / 733 papers shown

Title
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 27 2 0 12 Sep 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning Minxue Tang Yitu Wang Jingyang Zhang Louis DiValentin Aolin Ding Amin Hass Yiran Chen Hai "Helen" Li FedML AAML 24 0 0 12 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 40 1 0 31 Aug 2024
Revisiting Min-Max Optimization Problem in Adversarial Training Sina Hajer Ahmadi Hassan Bahrami AAML 33 0 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 29 0 0 19 Aug 2024
A Multi-task Adversarial Attack Against Face Authentication Hanrui Wang Shuo Wang Cunjian Chen Massimo Tistarelli Zhe Jin CVBM AAML 30 6 0 15 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 39 6 0 12 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 41 0 0 07 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 46 2 0 02 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 24 0 0 01 Aug 2024
Towards Clean-Label Backdoor Attacks in the Physical World Thinh Dao Cuong Chi Le Khoa D. Doan Kok-Seng Wong AAML 34 1 0 27 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 30 1 0 22 Jul 2024
Data-driven Verification of DNNs for Object Recognition Clemens Otte Yinchong Yang Danny Benlin Oswan AAML 26 0 0 17 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
Deep Adversarial Defense Against Multilevel-Lp Attacks Ren Wang Yuxuan Li Alfred Hero AAML 11 0 0 12 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 40 0 0 11 Jul 2024
Enhancing robustness of data-driven SHM models: adversarial training with circle loss Xiangli Yang Xijie Deng Hanwei Zhang Yang Zou Jianxi Yang AAML 41 0 0 20 Jun 2024
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation Bjorn Nieth Thomas Altstidl Leo Schwinn Björn Eskofier AAML 40 2 0 19 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 Jun 2024
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors Zijin Lin Yue Zhao Kai Chen Jinwen He AAML 32 0 0 12 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 37 6 0 09 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization Nikolaos Tsilivis Natalie Frank Nathan Srebro Julia Kempe 45 3 0 07 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 39 0 0 06 Jun 2024
Principles of Designing Robust Remote Face Anti-Spoofing Systems Xiang Xu Tianchen Zhao Zheng Zhang Zhihua Li Jon Wu Alessandro Achille Mani Srivastava AAML 40 3 0 06 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun Pietro Liò Bin Xiao 38 0 0 05 Jun 2024
Robust Stable Spiking Neural Networks Jianhao Ding Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang AAML 38 5 0 31 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 37 3 0 30 May 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud H. Sencar Hassan Sajjad Sanjay Chawla AAML 48 0 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 44 0 0 27 May 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 34 3 0 25 May 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 37 1 0 24 May 2024
Can Implicit Bias Imply Adversarial Robustness? Hancheng Min René Vidal 36 3 0 24 May 2024
Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux Alessandro Sordoni Stephan Günnemann Gauthier Gidel Leo Schwinn AAML 42 45 0 24 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 38 52 0 24 May 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 28 0 0 20 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors Ruihan Zhang Jun Sun AAML 34 3 0 19 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain Keng-Hsin Liao Chin-Yuan Yeh Hsi-Wen Chen Ming-Syan Chen 26 0 0 10 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 21 3 0 06 May 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 44 7 0 30 Apr 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 38 1 0 29 Apr 2024
Counteracting Concept Drift by Learning with Future Malware Predictions B. Bosanský Lada Hospodkova Michal Najman M. Rigaki E. Babayeva Viliam Lisý AAML 30 1 0 14 Apr 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 30 9 0 11 Apr 2024
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models Khawar Islam Muhammad Zaigham Zaheer Arif Mahmood Karthik Nandakumar DiffM 37 27 0 05 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 37 2 0 31 Mar 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 28 0 0 30 Mar 2024
Towards Understanding Dual BN In Hybrid Adversarial Training Chenshuang Zhang Chaoning Zhang Kang Zhang Axi Niu Junmo Kim In So Kweon AAML 45 1 0 28 Mar 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models Yanting Wang Hongye Fu Wei Zou Jinyuan Jia AAML 23 1 0 28 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 32 6 0 24 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting Mingkui Tan Guohao Chen Jiaxiang Wu Yifan Zhang Yaofo Chen Peilin Zhao Shuaicheng Niu TTA OOD 36 4 0 18 Mar 2024