Black-box Adversarial Attacks with Limited Queries and Information

23 April 2018

Papers citing "Black-box Adversarial Attacks with Limited Queries and Information"

50 / 651 papers shown

Title
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 26 3 0 15 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack Yunbo Tao Daizong Liu Pan Zhou Yulai Xie Wei Du Wei Hu 3DPC AAML 26 11 0 15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 30 22 0 13 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 38 3 0 12 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 43 0 0 10 Aug 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation Dongyoon Yang Insung Kong Yongdai Kim 44 4 0 08 Aug 2023
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding Hangcheng Liu Tao Xiang Shangwei Guo Han Li Tianwei Zhang Xiaofeng Liao 24 5 0 03 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 27 2 0 01 Aug 2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash AAML 24 3 0 30 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 17 10 0 19 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 36 2 0 17 Jul 2023
Vulnerability-Aware Instance Reweighting For Adversarial Training Olukorede Fakorede Ashutosh Nirala Modeste Atsague Jin Tian AAML 25 2 0 14 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Bo-wen Li Shuang Wu Shouhong Ding Wenqiang Zhang AAML 27 33 0 02 Jul 2023
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features Mingli Zhu Shaokui Wei H. Zha Baoyuan Wu AAML 35 37 0 29 Jun 2023
Document Image Cleaning using Budget-Aware Black-Box Approximation Ganesh Tata Katyani Singh E. V. Oeveren Nilanjan Ray AAML 23 0 0 22 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 30 138 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 32 25 0 22 Jun 2023
HumanDiffusion: diffusion model using perceptual gradients Yota Ueda Shinnosuke Takamichi Yuki Saito Norihiro Takamune Hiroshi Saruwatari DiffM 26 0 0 21 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 28 11 0 21 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 36 6 0 16 Jun 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 27 17 0 13 Jun 2023
Faithful Knowledge Distillation Tom A. Lamb Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Philip Torr Francisco Eiras AAML 17 0 0 07 Jun 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-man Cheung Min Lin VLM AAML MLLM 33 166 0 26 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 52 51 0 18 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 19 0 26 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency Yang Hou Qing Guo Yihao Huang Xiaofei Xie Lei Ma Jianjun Zhao AAML 34 48 0 23 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 52 18 0 20 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 45 4 0 13 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 34 4 0 11 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 30 2 0 10 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 29 5 0 05 Apr 2023
Ensemble-based Blackbox Attacks on Dense Prediction Zikui Cai Yaoteng Tan Ulugbek S. Kamilov AAML 35 14 0 25 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper M. Keuper AAML 31 9 0 22 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Xunguang Wang Jiawang Bai Xin-Chao Xu Xuelong Li AAML 17 1 0 22 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition Kaixun Jiang Zhaoyu Chen Tony Huang Jiafeng Wang Dingkang Yang Bo-wen Li Yan Wang Wenqiang Zhang AAML 22 21 0 21 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang X. Lin Sijia Liu AAML MLAU 37 1 0 13 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 65 11 0 11 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 26 1 0 07 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Yi Yu Yufei Wang Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot 69 41 0 28 Feb 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 13 18 0 28 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study Fabian Woitschek G. Schneider AAML 38 9 0 27 Feb 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data Kashun Shum Shizhe Diao Tong Zhang ReLM LRM 28 129 0 24 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 43 8 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 32 1 0 21 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 46 21 0 19 Feb 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint Ziang Yan Shusen Wang Guorui Zhou Jingjian Lin Peng Jiang OffRL 26 8 0 09 Feb 2023
Shortcut Detection with Variational Autoencoders Nicolas Müller Simon Roschmann Shahbaz Khan Philip Sperl Konstantin Böttinger AAML DRL 37 1 0 08 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 33 56 0 08 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 37 21 0 04 Feb 2023