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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Position: Certified Robustness Does Not (Yet) Imply Model Security Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein 33 0 0 16 Jun 2025
Constraint-Guided Prediction Refinement via Deterministic Diffusion Trajectories P. Dogoulis Fabien Bernier Félix Fourreau Karim Tit Maxime Cordy DiffM AI4CE 26 0 0 15 Jun 2025
AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent Jing Liu T. Koike-Akino Ye Wang Hassan Mansour Matthew Brand MQ 74 0 0 11 Jun 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Jie Bao Chuangyin Dang Rui Luo Hanwei Zhang Zhixin Zhou AAML 38 1 0 09 Jun 2025
Explore the vulnerability of black-box models via diffusion models Jiacheng Shi Yanfu Zhang Huajie Shao Ashley Gao DiffM 19 0 0 09 Jun 2025
No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Attila Szász Balázs Bánhelyi Márk Jelasity 27 0 0 01 Jun 2025
Preventing Adversarial AI Attacks Against Autonomous Situational Awareness: A Maritime Case Study Mathew J. Walter Aaron Barrett Kimberly Tam AAML 38 1 0 27 May 2025
Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion Yayin Zheng Chen Wan Zihong Guo Hailing Kuang Xiaohai Lu AAML 211 0 0 27 May 2025
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation Pingzhi Li Zhen Tan Huaizhi Qu Huan Liu Tianlong Chen AAML 54 0 0 26 May 2025
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Borna Khodabandeh Amirabbas Afzali Amirhossein Afsharrad Seyed Shahabeddin Mousavi Sanjay Lall Sajjad Amini Seyed-Mohsen Moosavi-Dezfooli AAML 43 0 0 24 May 2025
Out of the Shadows: Exploring a Latent Space for Neural Network Verification Lukas Koller Tobias Ladner Matthias Althoff 68 0 0 23 May 2025
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency Bo Yang Hengwei Zhang Jindong Wang Yuchen Ren Chenhao Lin Chao Shen Zhengyu Zhao AAML 95 0 0 19 May 2025
Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs Mohammed Elnawawy Gargi Mitra Shahrear Iqbal Karthik Pattabiraman AAML 83 0 0 10 May 2025
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Shashank Agnihotri Amaan Ansari Annika Dackermann Fabian Rösch Margret Keuper 167 0 0 08 May 2025
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability Anass Grini Oumaima Taheri Btissam El Khamlichi Amal El Fallah-Seghrouchni AAML 126 0 0 02 May 2025
How to Backdoor the Knowledge Distillation Chien-Sheng Wu Qian Ma P. Mitra Sencun Zhu AAML 85 0 0 30 Apr 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation Fauzan Nazranda Rizqan Matthew Hole Charles Gretton 119 0 0 29 Apr 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors Fengjia Zhang Samrudhdhi B. Rangrej Tristan Aumentado-Armstrong Afsaneh Fazly Alex Levinshtein SupR 138 0 0 25 Apr 2025
aiXamine: Simplified LLM Safety and Security Fatih Deniz Dorde Popovic Yazan Boshmaf Euisuh Jeong M. Ahmad Sanjay Chawla Issa M. Khalil ELM 341 0 0 21 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 576 1 0 20 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 87 0 0 15 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 93 0 0 11 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 91 0 0 07 Apr 2025
A Study on Adversarial Robustness of Discriminative Prototypical Learning Ramin Zarei-Sabzevar Hamed Mohammadzadeh Tahmineh Tavakoli Ahad Harati AAML 89 0 0 03 Apr 2025
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization Chaohu Liu Tianyi Gui Yu Liu Linli Xu VLM AAML 132 1 0 02 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 95 0 0 02 Apr 2025
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection Yinghe Zhang Chi Liu S. Kevin Zhou Sheng Shen Peng Gui AAML 135 0 0 01 Apr 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Meng Hu Rihao Li Wenhui Wu Yuheng Jia AAML 132 0 0 26 Mar 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis Wenwei Gu Renyi Zhong Jianping Zhang Michael R. Lyu AAML 93 0 0 25 Mar 2025
Narrowing Class-Wise Robustness Gaps in Adversarial Training Fatemeh Amerehi Patrick Healy 103 0 0 20 Mar 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 114 0 0 17 Mar 2025
Securing Virtual Reality Experiences: Unveiling and Tackling Cybersickness Attacks with Explainable AI Ripan Kumar Kundu Matthew Denton Genova Mongalo Prasad Calyam K. A. Hoque AAML 84 0 0 17 Mar 2025
Enhancing Adversarial Example Detection Through Model Explanation Qian Ma Ziping Ye AAML 102 0 0 12 Mar 2025
Strengthening the Internal Adversarial Robustness in Lifted Neural Networks Christopher Zach AAML 89 0 0 10 Mar 2025
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution Yihao Huang Xin Luo Yihao Huang Felix Juefei-Xu Xiaojun Jia Weikai Miao G. Pu Yang Liu 124 2 0 06 Mar 2025
Poisoning Bayesian Inference via Data Deletion and Replication Matthieu Carreau Roi Naveiro William N. Caballero AAML KELM 95 1 0 06 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 89 0 0 01 Mar 2025
Fast Adversarial Training against Sparse Attacks Requires Loss Smoothing Xuyang Zhong Yixiao Huang Chen Liu AAML 125 0 0 28 Feb 2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation Yuheng Ji Yue Liu Zhicheng Zhang Zhao Zhang Yuting Zhao Gang Zhou Xingwei Zhang Xinwang Liu Xiaolong Zheng VLM 186 4 0 21 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 122 0 0 08 Feb 2025
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates Fengqing Jiang Zhangchen Xu Luyao Niu Bill Yuchen Lin Radha Poovendran SILM 124 11 0 08 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge Belongie Christian Igel 140 1 0 03 Jan 2025
Sample Correlation for Fingerprinting Deep Face Recognition Jiyang Guan Jian Liang Yanbo Wang Ran He AAML 154 0 0 31 Dec 2024
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 101 0 0 31 Dec 2024
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context Nilanjana Das Edward Raff Aman Chadha Manas Gaur AAML 231 1 0 20 Dec 2024
Learning Robust and Privacy-Preserving Representations via Information Theory Binghui Zhang Sayedeh Leila Noorbakhsh Yun Dong Yuan Hong Binghui Wang 157 0 0 15 Dec 2024
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages Poulami Ghosh Raj Dabre Pushpak Bhattacharyya AAML 122 0 0 14 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 167 0 0 04 Dec 2024
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 137 0 0 03 Dec 2024
Adversarial Attacks on Hyperbolic Networks Max van Spengler Jan Zahálka Pascal Mettes AAML OOD 180 0 0 02 Dec 2024