Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

24 May 2016

Papers citing "Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples"

50 / 360 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 60 0 0 08 May 2025
Transferable Adversarial Attacks on Black-Box Vision-Language Models Kai Hu Weichen Yu Lefei Zhang Alexander Robey Andy Zou Chengming Xu Haoqi Hu Matt Fredrikson AAML VLM 72 1 0 02 May 2025
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift Julien Piet Xiao Huang Dennis Jacob Annabella Chow Maha Alrashed Geng Zhao Zhanhao Hu Chawin Sitawarin Basel Alomair David Wagner AAML 70 0 0 28 Apr 2025
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning Greg Gluch Shafi Goldwasser AAML 42 0 0 28 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 229 0 0 20 Apr 2025
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 50 0 0 12 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis Li Yang Mirna El Rajab Abdallah Shami Sami Muhaidat 95 6 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 214 0 0 27 Feb 2025
We're Different, We're the Same: Creative Homogeneity Across LLMs Emily Wenger Yoed Kenett 95 5 0 31 Jan 2025
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization Soroosh Shafieezadeh-Abadeh Liviu Aolaritei Florian Dorfler Daniel Kuhn 66 20 0 31 Dec 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 41 2 0 11 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 35 2 0 09 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness Elie Attias Cengiz Pehlevan D. Obeid AAML OOD 23 0 0 04 Oct 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit Duanyi Yao Songze Li Ye Xue Jin Liu FedML AAML 37 1 0 08 Aug 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 68 1 0 13 Jul 2024
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation Zhaoyi Lu Wenchao Xu Ming Tu Xin Xie Cunqing Hua Nan Cheng 59 1 0 11 Jun 2024
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks Zhenan Shao Linjian Ma Yiqing Zhou Yibo Jacky Zhang Sanmi Koyejo Bo Li Diane M. Beck AAML 53 3 0 04 May 2024
Bidirectional Consistency Models Liangchen Li Jiajun He DiffM 72 12 0 26 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 66 8 0 15 Mar 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 37 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 38 6 0 11 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 27 4 0 22 Jan 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 40 6 0 10 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 28 3 0 28 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 32 0 0 14 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models Chawin Sitawarin Jaewon Chang David Huang Wesson Altoyan David Wagner AAML 39 6 0 26 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 40 16 0 01 Oct 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 42 3 0 20 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 30 17 0 06 Aug 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 48 4 0 03 Jul 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 37 44 0 17 Jun 2023
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems Ashim Gupta Amrith Krishna AAML 22 16 0 31 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text Ashim Gupta Carter Blum Temma Choji Yingjie Fei Shalin S Shah Alakananda Vempala Vivek Srikumar AAML 32 9 0 25 May 2023
Boosting Big Brother: Attacking Search Engines with Encodings Nicholas Boucher Luca Pajola Ilia Shumailov Ross J. Anderson Mauro Conti SILM 37 10 0 27 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 40 38 0 30 Mar 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning Thorsten Eisenhofer Erwin Quiring Jonas Moller Doreen Riepel Thorsten Holz Konrad Rieck AAML 31 6 0 25 Mar 2023
Ensemble-based Blackbox Attacks on Dense Prediction Zikui Cai Yaoteng Tan Ulugbek S. Kamilov AAML 38 14 0 25 Mar 2023
Effective black box adversarial attack with handcrafted kernels P. Dvorácek P. Hurtík Petra Stevuliáková AAML 30 0 0 24 Mar 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 31 36 0 20 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 31 0 0 08 Mar 2023
Adversarial Attacks on Machine Learning in Embedded and IoT Platforms Christian Westbrook S. Pasricha AAML 25 3 0 03 Mar 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 37 20 0 14 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 39 36 0 10 Feb 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models Shawn Shan Jenna Cryan Emily Wenger Haitao Zheng Rana Hanocka Ben Y. Zhao WIGM 17 177 0 08 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 23 2 0 04 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 34 27 0 01 Jan 2023