Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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

50 / 6,484 papers shown

Title
$Property-Preserving Hashing for $\ell_1$-Distance Predicates: Applications to Countering Adversarial Input Attacks$ Property-Preserving Hashing for $\ell_1$ -Distance Predicates: Applications to Countering Adversarial Input Attacks H. Asghar Chenhan Zhang Dali Kaafar AAML 16 0 0 23 Apr 2025
Human-Imperceptible Physical Adversarial Attack for NIR Face Recognition Models Songyan Xie Jinghang Wen Encheng Su Qiucheng Yu AAML PICV 24 0 0 22 Apr 2025
Adversarial Observations in Weather Forecasting Erik Imgrund Thorsten Eisenhofer Konrad Rieck AAML 29 0 0 22 Apr 2025
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models Hao Xuan Xingyu Li AAML MU 43 0 0 21 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He W. Wang Caifeng Shan L. Wang AAML 69 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 122 0 0 20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 26 0 0 19 Apr 2025
Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation CheolWon Na YunSeok Choi Jee-Hyong Lee AAML 37 0 0 18 Apr 2025
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification Reek Majumder M. Chowdhury S. Khan Zadid Khan Fahim Ahmad Frank Ngeni G. Comert Judith Mwakalonge Dimitra Michalaka AAML 33 0 0 17 Apr 2025
Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints Guanyu Wang K. Wang Yihao Huang Mingyi Zhou Zhang Qing cnwatcher Geguang Pu Li Li DiffM PICV 51 0 0 17 Apr 2025
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang Elvin Li T. Rosing AAML 35 0 0 17 Apr 2025
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models Zeyu Dai Shengcai Liu Rui He Jiahao Wu Ning Lu Wenqi Fan Qing Li Ke Tang DiffM AAML 38 0 0 16 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 71 0 0 16 Apr 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning Lijun Sheng Jian Liang Z. Wang Ran He AAML VLM 36 0 0 15 Apr 2025
Towards Spatially-Aware and Optimally Faithful Concept-Based Explanations Shubham Kumar Dwip Dalal Narendra Ahuja 21 0 0 15 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 28 0 0 15 Apr 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models Yudong Zhang Ruobing Xie Jiansheng Chen X. Sun Zhanhui Kang Yu Wang AAML 29 0 0 15 Apr 2025
An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection Qiyao Tang Xiangyang Li 21 0 0 14 Apr 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering Yexing Xu Longguang Wang Minglin Chen Sheng Ao Li Li Yulan Guo 29 0 0 13 Apr 2025
From Visual Explanations to Counterfactual Explanations with Latent Diffusion Tung Luu Nam Le Duc Le Bac Le DiffM AAML FAtt 44 0 0 12 Apr 2025
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation Dawei Zhou Suzhi Gang Decheng Liu Tongliang Liu N. Wang Xinbo Gao AAML 39 0 0 11 Apr 2025
Robust SAM: On the Adversarial Robustness of Vision Foundation Models Jiahuan Long Zhengqin Xu Tingsong Jiang Wen Yao Shuai Jia Chao Ma Xiaoqian Chen AAML VLM 31 1 0 11 Apr 2025
On Transfer-based Universal Attacks in Pure Black-box Setting M. Jalwana Naveed Akhtar Ajmal Saeed Mian Nazanin Rahnavard Mubarak Shah AAML 26 0 0 11 Apr 2025
Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks Jiaqi Lin Abhronil Sengupta AAML 21 0 0 11 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm Amir Ali Farzin Yuen-Man Pun Philipp Braun Antoine Lesage-Landry Youssef Diouane Iman Shames 45 1 0 10 Apr 2025
Towards Calibration Enhanced Network by Inverse Adversarial Attack Yupeng Cheng Zi Pong Lim Sarthak Ketanbhai Modi Yon Shin Teo Yushi Cao Shang-Wei Lin AAML 26 0 0 08 Apr 2025
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking Junxi Chen Junhao Dong Xiaohua Xie 33 0 0 08 Apr 2025
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG Roie Kazoom Raz Lapid Moshe Sipper Ofer Hadar VLM ObjD AAML 54 0 0 07 Apr 2025
SINCon: Mitigate LLM-Generated Malicious Message Injection Attack for Rumor Detection Mingqing Zhang Qiang Liu Xiang Tao Shu Wu Liang Wang 22 0 0 07 Apr 2025
On the Robustness of GUI Grounding Models Against Image Attacks Haoren Zhao Tianyi Chen Zhen Wang AAML 36 0 0 07 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability Mohammad Hossein Najafi Mohammad Morsali Mohammadreza Pashanejad Saman Soleimani Roudi Mohammad Norouzi Saeed Bagheri Shouraki AAML 23 0 0 07 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 36 0 0 07 Apr 2025
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems S. Mandelli Vinod Puthuvath Anderson Rocha Rafidha Rehiman K. A. Mauro Conti AAML 28 0 0 06 Apr 2025
Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models Lucas Beerens D. Higham DiffM WIGM 55 0 0 05 Apr 2025
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis Sijia Zhou Yunwen Lei Ata Kabán 29 0 0 03 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 50 0 0 03 Apr 2025
Properties of Fixed Points of Generalised Extra Gradient Methods Applied to Min-Max Problems Amir Ali Farzin Yuen-Man Pun Philipp Braun Iman Shames 23 0 0 03 Apr 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness Yusheng Zhao Junyu Luo Xiao Luo Weizhi Zhang Zhiping Xiao Wei Ju Philip S. Yu Ming Zhang AuLLM 42 0 0 03 Apr 2025
A Study on Adversarial Robustness of Discriminative Prototypical Learning Ramin Zarei-Sabzevar Hamed Mohammadzadeh Tahmineh Tavakoli Ahad Harati AAML 18 0 0 03 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 56 0 0 02 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 68 1 0 02 Apr 2025
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution Zhuoran Yang Jie Peng Zhen Tan Tianlong Chen Yanyong Zhang AAML 44 0 0 02 Apr 2025
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks H. Li Junjie Chen Yuecong Xu Kemi Ding 3DPC 36 0 0 02 Apr 2025
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image Ezzeldin Shereen Dan Ristea Burak Hasircioglu Shae McFadden V. Mavroudis Chris Hicks 44 0 0 02 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 55 0 0 01 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 51 0 0 01 Apr 2025
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems Weifei Jin Yuxin Cao Junjie Su Derui Wang Yedi Zhang Minhui Xue Jie Hao Jin Song Dong Yixian Yang AAML 55 0 0 01 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios Jingzheng Li X. Liu Shikui Wei Zhijun Chen B. Li Qing-Wu Guo Xianqi Yang Yanjun Pu Jiakai Wang AAML ELM 66 0 0 31 Mar 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 112 0 0 30 Mar 2025