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
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks Ping Guo Fei Liu Xi Lin Qingchuan Zhao Qingfu Zhang 20 0 0 27 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 34 78 0 25 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 21 3 0 22 Jan 2024
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao Yang Bai Jindong Gu Shu-Tao Xia Philip H. S. Torr Zhifeng Li Wei Liu VLM 14 39 0 20 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 32 4 0 19 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 42 1 0 12 Jan 2024
Transferable Learned Image Compression-Resistant Adversarial Perturbations Yang Sui Zhuohang Li Ding Ding Xiang Pan Xiaozhong Xu Shan Liu Zhenzhong Chen AAML 13 0 0 06 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 34 7 0 28 Dec 2023
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation Zixian Guo Yuxiang Wei Ming-Yu Liu Zhilong Ji Jinfeng Bai Yiwen Guo Wangmeng Zuo VLM 27 8 0 26 Dec 2023
A Malware Classification Survey on Adversarial Attacks and Defences Mahesh Ponnuru Likhitha Amasala Tanu Sree Bhimavarapu Guna Chaitanya Garikipati AAML 13 4 0 15 Dec 2023
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection Xiangtao Meng Li Wang Shanqing Guo Lei Ju Qingchuan Zhao AAML 16 6 0 14 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 18 0 0 12 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
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 23 1 0 06 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 21 0 0 05 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models Xunguang Wang Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang MLLM 38 11 0 04 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 30 1 0 03 Dec 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 8 2 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 23 2 0 28 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 47 2 0 23 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method Tao Wang Zijian Ying Qianmu Li Zhichao Lian AAML 22 4 0 18 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 15 3 0 18 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 22 6 0 31 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David A. Wagner AAML 31 5 0 26 Oct 2023
Instability of computer vision models is a necessary result of the task itself Oliver Turnbull G. Cevora AAML 14 0 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 24 6 0 26 Oct 2023
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection Yuxin Cao Yian Li Yumeng Zhu Derui Wang Minhui Xue CVBM 3DH 3DPC 11 2 0 25 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 22 9 0 24 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 27 6 0 19 Oct 2023
Exploring Decision-based Black-box Attacks on Face Forgery Detection Zhaoyu Chen Bo-wen Li Kaixun Jiang Shuang Wu Shouhong Ding Wenqiang Zhang AAML CVBM 24 1 0 18 Oct 2023
Adversarial Training for Physics-Informed Neural Networks Yao Li Shengzhu Shi Zhichang Guo Boying Wu AAML PINN 25 0 0 18 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 19 9 0 16 Oct 2023
Jailbreaking Black Box Large Language Models in Twenty Queries Patrick Chao Alexander Robey Edgar Dobriban Hamed Hassani George J. Pappas Eric Wong AAML 53 570 0 12 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 26 3 0 10 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng-Wei Zhang B. Kailkhura Sijia Liu 30 43 0 03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 30 15 0 01 Oct 2023
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks Quang H. Nguyen Yingjie Lao Tung Pham Kok-Seng Wong Khoa D. Doan AAML SILM 8 0 0 01 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 22 59 0 26 Sep 2023
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space Liu Jun Jiantao Zhou Jiandian Zeng Jinyu Tian 11 1 0 26 Sep 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks Ao Zhang Yu Ran Weixuan Tang Yuan-Gen Wang 23 13 0 24 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks? Yinpeng Dong Huanran Chen Jiawei Chen Zhengwei Fang X. Yang Yichi Zhang Yu Tian Hang Su Jun Zhu AAML 21 102 0 21 Sep 2023
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection Hanqing Guo Guangjing Wang Yuanda Wang Bocheng Chen Qiben Yan Li Xiao AAML 37 9 0 13 Sep 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks Jindong Gu Fangyun Wei Philip H. S. Torr Han Hu AAML 22 1 0 12 Sep 2023
Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 38 38 0 11 Sep 2023
The Adversarial Implications of Variable-Time Inference Dudi Biton Aditi Misra Efrat Levy J. Kotak Ron Bitton R. Schuster Nicolas Papernot Yuval Elovici Ben Nassi AAML 15 0 0 05 Sep 2023
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 32 2 0 03 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 29 8 0 22 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing Dmitrii Korzh Alireza Azadbakht Maryam Tahmasbi Alireza Javaheri AAML 18 0 0 17 Aug 2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks Mirazul Haque Wei Yang AAML 11 2 0 17 Aug 2023