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Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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

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Title
TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction Yu Zhang Zhao Kang ViT 79 1 0 01 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data Xuefeng Du Reshmi Ghosh Robert Sim Ahmed Salem Vitor Carvalho Emily Lawton Yixuan Li Jack W. Stokes VLM AAML 99 7 0 01 Oct 2024
Lipschitz-Driven Noise Robustness in VQ-AE for High-Frequency Texture Repair in ID-Specific Talking Heads Jian Yang Xukun Wang Wentao Wang Guoming Li Qihang Fang Ruihong Yuan Tianyang Wang Jason Zhaoxin Fan Yeying Jin Zhaoxin Fan VGen 156 1 0 01 Oct 2024
SMLE: Safe Machine Learning via Embedded Overapproximation Matteo Francobaldi Michele Lombardi AAML 47 0 0 30 Sep 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 87 1 0 30 Sep 2024
Robust LLM safeguarding via refusal feature adversarial training L. Yu Virginie Do Karen Hambardzumyan Nicola Cancedda AAML 150 19 0 30 Sep 2024
Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization Nikos Efthymiadis Giorgos Tolias Ondřej Chum OOD 88 2 0 29 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 85 0 0 29 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph Representations Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 62 2 0 29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen 65 0 0 29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 97 0 0 27 Sep 2024
Entropy, concentration, and learning: a statistical mechanics primer Akshay Balsubramani AI4CE 61 1 0 27 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 111 0 0 27 Sep 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 97 4 0 26 Sep 2024
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense Filippo Bartolucci I. Masi G. Lisanti AAML 94 1 0 26 Sep 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou Yufei Song Minghui Li Shengshan Hu Xianlong Wang Leo Yu Zhang Dezhong Yao Hai Jin 91 12 0 26 Sep 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 105 1 0 26 Sep 2024
Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples Yujiang Liu Wenjian Luo Zhijian Chen Muhammad Luqman Naseem AAML 25 0 0 26 Sep 2024
Verified Relative Safety Margins for Neural Network Twins Anahita Baninajjar Kamran Hosseini Ahmed Rezine A. Aminifar AAML 60 1 0 25 Sep 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 143 1 0 24 Sep 2024
Revisiting Acoustic Features for Robust ASR Muhammad Ahmed Shah Bhiksha Raj AAML 48 0 0 24 Sep 2024
Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domain Mehtab Ur Rahman Martha Larson Louis ten Bosch Cristian Tejedor-García 51 0 0 24 Sep 2024
Adversarial Watermarking for Face Recognition Yuguang Yao Anil K. Jain Sijia Liu AAML 72 0 0 24 Sep 2024
Adversarial Backdoor Defense in CLIP Junhao Kuang Siyuan Liang Jiawei Liang Kuanrong Liu Xiaochun Cao AAML 85 3 0 24 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training Jinpeng Lin Xulei Yang Tianrui Li Xun Xu 3DPC 76 0 0 23 Sep 2024
Advancing Video Quality Assessment for AIGC Xinli Yue Jianhui Sun Han Kong Liangchao Yao Tianyi Wang ... Jing Lv Fan Xia Yuetang Deng Qian Wang Lingchen Zhao VGen EGVM 82 0 0 23 Sep 2024
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI Ambrish Rawat Stefan Schoepf Giulio Zizzo Giandomenico Cornacchia Muhammad Zaid Hameed ... Elizabeth M. Daly Mark Purcell P. Sattigeri Pin-Yu Chen Kush R. Varshney AAML 104 8 0 23 Sep 2024
Backtracking Improves Generation Safety Yiming Zhang Jianfeng Chi Hailey Nguyen Kartikeya Upasani Daniel M. Bikel Jason Weston Eric Michael Smith SILM 124 8 0 22 Sep 2024
Dormant: Defending against Pose-driven Human Image Animation Jiachen Zhou Mingsi Wang Tianlin Li Guozhu Meng Kai Chen 160 5 0 22 Sep 2024
Cloud Adversarial Example Generation for Remote Sensing Image Classification Fei Ma Yuqiang Feng Fan Zhang Yongsheng Zhou DiffM AAML 65 2 0 21 Sep 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 85 1 0 20 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 74 0 0 20 Sep 2024
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification Zuomin Qu Wei Lu Xiangyang Luo Qian Wang Xiaochun Cao AAML PICV 164 1 0 20 Sep 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu 97 1 0 19 Sep 2024
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN Ziyi Liu Dengpan Ye Long Tang Yunming Zhang Yueyun Shang AI4TS AAML 16 1 0 19 Sep 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition Shuai Yuan Hongwei Li Xingshuo Han Guowen Xu Wenbo Jiang Tao Ni Qingchuan Zhao Yuguang Fang 77 4 0 19 Sep 2024
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach Nastaran Darabi Dinithi Jayasuriya Devashri Naik Theja Tulabandhula Amit Ranjan Trivedi AAML 79 2 0 19 Sep 2024
A constrained optimization approach to improve robustness of neural networks Shudian Zhao Jan Kronqvist AAML 52 0 0 18 Sep 2024
NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration Hanyi Hu Qiao Han Kui Chen Yao Yang AAML 69 0 0 18 Sep 2024
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Integration of Multi Active/Passive Core-Agents Amine B. Hassouna Hana Chaari Ines Belhaj LLMAG 95 1 0 17 Sep 2024
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification Deepsayan Sadhukhan N. Shankar Sheetal Kalyani AAML 48 0 0 17 Sep 2024
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Songning Lai Tianlang Xue Hongru Xiao Lijie Hu Jiemin Wu Ninghui Feng Runwei Guan Haicheng Liao Zhenning Li Yutao Yue 83 4 0 16 Sep 2024
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective Ningfei Wang Shaoyuan Xie Takami Sato Yunpeng Luo Kaidi Xu Qi Alfred Chen AAML 69 1 0 15 Sep 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model Xingxing Wei Caixin Kang Yinpeng Dong Ziyi Wang Shouwei Ruan Yubo Chen Hang Su AAML DiffM 69 3 0 14 Sep 2024
Are Sparse Neural Networks Better Hard Sample Learners? Q. Xiao Boqian Wu Lu Yin Christopher Neil Gadzinski Tianjin Huang Mykola Pechenizkiy Decebal Constantin Mocanu 87 1 0 13 Sep 2024
Clean Label Attacks against SLU Systems Lin Zhang Sonal Joshi Thomas Thebaud Jesus Villalba Najim Dehak Sanjeev Khudanpur AAML 61 0 0 13 Sep 2024
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution Kiana Vu Phung Lai Truc D. T. Nguyen AAML 74 0 0 13 Sep 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense Jeremy A. Styborski Mingzhi Lyu Yunpeng Huang Adams Kong 113 0 0 13 Sep 2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification Geigh Zollicoffer Minh Vu Ben Nebgen Juan Castorena Boian S. Alexandrov Manish Bhattarai 68 2 0 12 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 71 0 0 11 Sep 2024