v1v2v3v4 (latest)

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 / 1,930 papers shown

Title
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
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 96 11 0 09 May 2023
Understanding Noise-Augmented Training for Randomized Smoothing Ambar Pal Jeremias Sulam AAML 75 7 0 08 May 2023
Toward Adversarial Training on Contextualized Language Representation Hongqiu Wu Yang Liu Han Shi Haizhen Zhao Hao Fei AAML 54 14 0 08 May 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples Heng Yang Ke Li AAML 118 3 0 06 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework Ruijia Wu Yuhang Wang Huafeng Shi Zhipeng Yu Yichao Wu Ding Liang DiffM 67 9 0 06 May 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer Lichang Chen Heng-Chiao Huang Varun Madhavan AAML 179 12 0 03 May 2023
On the Security Risks of Knowledge Graph Reasoning Zhaohan Xi Tianyu Du Changjiang Li Ren Pang S. Ji Xiapu Luo Xusheng Xiao Fenglong Ma Ting Wang 73 10 0 03 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 54 2 0 02 May 2023
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks Jingfeng Zhang Bo Song Bo Han Lei Liu Gang Niu Masashi Sugiyama AAML 82 2 0 30 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh-Vu Bui Trung Le He Zhao Quan Hung Tran Paul Montague Dinh Q. Phung AAML 73 0 0 26 Apr 2023
Individual Fairness in Bayesian Neural Networks Alice Doherty Matthew Wicker Luca Laurenti A. Patané 147 5 0 21 Apr 2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi Sravanti Addepalli Harsh Rangwani R. Venkatesh Babu AAML 68 3 0 20 Apr 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 50 2 0 19 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 63 2 0 18 Apr 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 64 2 0 17 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 123 5 0 13 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 76 2 0 12 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 86 3 0 10 Apr 2023
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Yanru Xiao Cong Wang Xing Gao AAML 132 0 0 09 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 68 0 0 08 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 111 32 0 01 Apr 2023
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness T. Redgrave Colton R. Crum AAML 40 0 0 30 Mar 2023
Fooling the Image Dehazing Models by First Order Gradient Jie Gui Xiaofeng Cong Chengwei Peng Yuan Yan Tang James T. Kwok AAML 59 9 0 30 Mar 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 51 0 0 29 Mar 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 67 1 0 28 Mar 2023
Learning Iterative Neural Optimizers for Image Steganography Xiangyu Chen Varsha Kishore Kilian Q. Weinberger 38 6 0 27 Mar 2023
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis T. Le Hao Phung Thuan Hoang Nguyen Quan Dao Ngoc N. Tran Anh Tran 111 100 0 27 Mar 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 104 54 0 25 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 80 0 0 24 Mar 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 137 4 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 John E. Hopcroft AAML 79 0 0 24 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 117 22 0 24 Mar 2023
Generalist: Decoupling Natural and Robust Generalization Hongjun Wang Yisen Wang OOD AAML 97 14 0 24 Mar 2023
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems Jun-bin Fang You Jiang Canjian Jiang Z. L. Jiang Siu-Ming Yiu Chuanyi Liu AAML 76 17 0 22 Mar 2023
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense B. Le Shahroz Tariq Simon S. Woo AAML 60 0 0 21 Mar 2023
Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang Zhiyi Xue Yang Chen Si Liu Yueling Zhang Qingbin Liu Min Zhang 107 5 0 21 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks Wenqi Wei Mu Qiao D. Jadav AAML AI4CE 72 4 0 20 Mar 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 74 2 0 20 Mar 2023
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage Song Park Sanghyuk Chun Byeongho Heo Wonjae Kim Sangdoo Yun VLM ViT 94 8 0 20 Mar 2023
Robust Evaluation of Diffusion-Based Adversarial Purification M. Lee Dongwoo Kim 136 64 0 16 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems Islam Debicha Benjamin Cochez Tayeb Kenaza Thibault Debatty Jean-Michel Dricot Wim Mees AAML 57 5 0 13 Mar 2023
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality Weiquan Liu Shijun Zheng Cheng-i Wang 3DPC AAML 55 2 0 12 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 20 0 11 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 125 14 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Efficient Certified Training and Robustness Verification of Neural ODEs Mustafa Zeqiri Mark Niklas Muller Marc Fischer Martin Vechev AAML 96 2 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 61 0 0 08 Mar 2023
Robustness-preserving Lifelong Learning via Dataset Condensation Jinghan Jia Yihua Zhang Dogyoon Song Sijia Liu Alfred Hero DD 67 5 0 07 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 63 2 0 05 Mar 2023