Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 6,508 papers shown

Title
Aligning Multimodal LLM with Human Preference: A Survey Tao Yu Yuyao Zhang Chaoyou Fu Junkang Wu Jinda Lu ... Qingsong Wen Z. Zhang Yan Huang Liang Wang Tieniu Tan 188 2 0 18 Mar 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 53 0 0 18 Mar 2025
AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark Xinhao Xiang Xiao Liu Zizhong Li Zhuosheng Liu Jiawei Zhang 55 0 0 18 Mar 2025
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 95 0 0 18 Mar 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 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 46 0 0 17 Mar 2025
Safeguarding LLM Embeddings in End-Cloud Collaboration via Entropy-Driven Perturbation Shuaifan Jin Xiaoyi Pang Zhibo Wang He Wang Jiacheng Du Jiahui Hu Kui Ren SILM AAML 80 0 0 17 Mar 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization Yuyao Zhang Yingzhe Xu Junyu Shi L. Zhang Shengshan Hu Minghui Li Yanjun Zhang AAML 51 1 0 17 Mar 2025
Robust Dataset Distillation by Matching Adversarial Trajectories Wei Lai Tianyu Ding ren dongdong Lei Wang Jing Huo Yang Gao Wenbin Li AAML DD 62 0 0 15 Mar 2025
Provenance Detection for AI-Generated Images: Combining Perceptual Hashing, Homomorphic Encryption, and AI Detection Models Shree Singhi Aayan Yadav Aayush Gupta Shariar Ebrahimi Parisa Hassanizadeh 50 0 0 14 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 39 0 0 14 Mar 2025
Are Deep Speech Denoising Models Robust to Adversarial Noise? Will Schwarzer Philip S. Thomas Andrea Fanelli Xiaoyu Liu 54 0 0 14 Mar 2025
Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense Shuyang Hao Yijiao Wang Bryan Hooi Ming Yang Jiaheng Liu Chengcheng Tang Zi Huang Yujun Cai AAML 54 0 0 14 Mar 2025
Align in Depth: Defending Jailbreak Attacks via Progressive Answer Detoxification Yingjie Zhang Tong Liu Zhe Zhao Guozhu Meng Kai Chen AAML 55 1 0 14 Mar 2025
Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix Junbiao Pang Tianyang Cai 44 1 0 14 Mar 2025
Enhancing Facial Privacy Protection via Weakening Diffusion Purification Ali Salar Qing Liu Yingli Tian Guoying Zhao DiffM 56 0 0 13 Mar 2025
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction Xiaobo Xia Xiaofeng Liu Jiale Liu K. Fang Lu Lu Samet Oymak William S. Currie Tongliang Liu 64 0 0 13 Mar 2025
Learning Interpretable Logic Rules from Deep Vision Models Chuqin Geng Yuhe Jiang Ziyu Zhao Haolin Ye Zhaoyue Wang X. Si NAI FAtt VLM 74 1 0 13 Mar 2025
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption Joonsung Jeon Woo Jae Kim Suhyeon Ha Sooel Son Sung-eui Yoon DiffM AAML 63 0 0 13 Mar 2025
Robustness Tokens: Towards Adversarial Robustness of Transformers Brian Pulfer Yury Belousov S. Voloshynovskiy AAML 45 0 0 13 Mar 2025
Attacking Multimodal OS Agents with Malicious Image Patches Lukas Aichberger Alasdair Paren Y. Gal Philip Torr Adel Bibi AAML 62 3 0 13 Mar 2025
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1 Zhaoyi Li Xiaohan Zhao Dong-Dong Wu Jiacheng Cui Zhiqiang Shen AAML VLM 75 1 0 13 Mar 2025
Enhancing Adversarial Example Detection Through Model Explanation Qian Ma Ziping Ye AAML 67 0 0 12 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 69 0 0 12 Mar 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain Yuanmin Huang Mi Zhang Zhaoxiang Wang Wenxuan Li Min Yang AAML AI4TS 59 0 0 12 Mar 2025
All Your Knowledge Belongs to Us: Stealing Knowledge Graphs via Reasoning APIs Zhaohan Xi 65 0 0 12 Mar 2025
Tangentially Aligned Integrated Gradients for User-Friendly Explanations Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew FAtt 86 2 0 11 Mar 2025
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods Seyyed Mohammad Sadegh Moosavi Khorzooghi Poojitha Thota Mohit Singhal Abolfazl Asudeh Gautam Das Shirin Nilizadeh AAML 50 0 0 11 Mar 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models Sajjad Hashemian Mohammad Saeed Arvenaghi 53 0 0 11 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 192 0 0 11 Mar 2025
Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks Junying Wang Hongyuan Zhang Yuan Yuan AAML PICV 80 0 0 11 Mar 2025
Utilizing Jailbreak Probability to Attack and Safeguard Multimodal LLMs Wenzhuo Xu Zhipeng Wei Xiongtao Sun Deyue Zhang Dongdong Yang Quanchen Zou Xinming Zhang AAML 52 0 0 10 Mar 2025
Runtime Detection of Adversarial Attacks in AI Accelerators Using Performance Counters Habibur Rahaman Atri Chatterjee Swarup Bhunia 59 0 0 10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 48 0 0 10 Mar 2025
Non-vacuous Generalization Bounds for Deep Neural Networks without any modification to the trained models Khoat Than Dat Phan BDL AAML VLM 60 0 0 10 Mar 2025
Strengthening the Internal Adversarial Robustness in Lifted Neural Networks Christopher Zach AAML 51 0 0 10 Mar 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
Life-Cycle Routing Vulnerabilities of LLM Router Qiqi Lin Xiaoyang Ji Shengfang Zhai Qingni Shen Zhi-Li Zhang Yuejian Fang Yansong Gao AAML 62 1 0 09 Mar 2025
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation Yuzheng Wang Zhaoyu Chen Dingkang Yang Yuanhang Wang Lizhe Qi AAML 69 0 0 09 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 218 0 0 09 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 65 0 0 08 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 74 1 0 08 Mar 2025
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation Yinuo Liu Zenghui Yuan Guiyao Tie Jiawen Shi Lichao Sun Lichao Sun Neil Zhenqiang Gong 48 1 0 08 Mar 2025
Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models Thomas Winninger Boussad Addad Katarzyna Kapusta AAML 68 0 0 08 Mar 2025
Robust Intrusion Detection System with Explainable Artificial Intelligence Betül Güvenç Paltun Ramin Fuladi Rim El Malki AAML 56 0 0 07 Mar 2025
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models Zheng Li Liangbin Xie Jiantao Zhou Xintao Wang Haiwei Wu Jinyu Tian 39 0 0 07 Mar 2025
Generalizable Image Repair for Robust Visual Autonomous Racing Carson Sobolewski Zhenjiang Mao Kshitij Vejre Ivan Ruchkin 52 0 0 07 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 55 1 0 06 Mar 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 66 0 0 06 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 48 0 0 06 Mar 2025