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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018

Papers citing "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"

50 / 1,929 papers shown

Title
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 100 2 0 01 Aug 2023
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari S. Garg Prashanth Krishnamurthy Farshad Khorrami Alexandre Araujo 94 23 0 27 Jul 2023
Defending Adversarial Patches via Joint Region Localizing and Inpainting Junwen Chen Xingxing Wei AAML 40 1 0 26 Jul 2023
A LLM Assisted Exploitation of AI-Guardian Nicholas Carlini ELM SILM 47 18 0 20 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 90 3 0 17 Jul 2023
Alleviating the Effect of Data Imbalance on Adversarial Training Guanlin Li Guowen Xu Tianwei Zhang 105 2 0 14 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 52 2 0 14 Jul 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 73 14 0 11 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 81 14 0 10 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 100 0 0 08 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 85 1 0 29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 91 1 0 29 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 97 11 0 28 Jun 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 57 1 0 27 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 62 4 0 27 Jun 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 71 3 0 27 Jun 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization Songyang Gao Shihan Dou Yan Liu Xiao Wang Qi Zhang Zhongyu Wei Jin Ma Yingchun Shan OOD 62 4 0 27 Jun 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 62 0 0 26 Jun 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 38 0 0 25 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 84 5 0 25 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 78 0 0 25 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 110 1 0 25 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 120 172 0 22 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Francesco Croce Naman D. Singh Matthias Hein VLM 77 9 0 22 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 79 57 0 22 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 84 2 0 16 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 100 11 0 15 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond Yu Qiao Chaoning Zhang Taegoo Kang Donghun Kim Chenshuang Zhang Choong Seon Hong AAML 56 34 0 13 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 59 0 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 62 2 0 13 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 56 4 0 12 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 52 6 0 10 Jun 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 101 7 0 08 Jun 2023
From Robustness to Explainability and Back Again Xuanxiang Huang Sasha Rubin 77 10 0 05 Jun 2023
Evaluating robustness of support vector machines with the Lagrangian dual approach Yuting Liu Hong Gu Pan Qin AAML 98 2 0 05 Jun 2023
Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy Xiaoting Li Ling-Hao Chen Dinghao Wu AAML SILM 66 6 0 04 Jun 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics Zonghan Yang Peng Li Tianyu Pang Yang Liu AAML 73 3 0 02 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 67 14 0 02 Jun 2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks Jiyi Zhang Hansheng Fang E. Chang AAML 43 0 0 02 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 62 4 0 02 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 134 4 0 27 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang Xiaohu Yang Chen-Dong Duan Hang Su Jun Zhu 154 60 0 24 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 98 15 0 23 May 2023
Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth A. Lomuscio AAML 106 14 0 23 May 2023
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui Zhuotao Tian Zhisheng Zhong Xiaojuan Qi Bei Yu Hanwang Zhang 78 45 0 23 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning Minchan Kwon Kangil Kim AAML 36 0 0 23 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 104 5 0 20 May 2023
Multi-Task Models Adversarial Attacks Lijun Zhang Xiao Liu Kaleel Mahmood Caiwen Ding Hui Guan AAML 89 0 0 20 May 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 91 10 0 15 May 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications Han Cheol Moon Shafiq Joty Ruochen Zhao Megh Thakkar Xu Chi AAML 68 15 0 11 May 2023