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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
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks Huifeng Yin Hanle Zheng Jiayi Mao Siyuan Ding Xing Liu M. Xu Yifan Hu Jing Pei Lei Deng 166 1 0 28 Jan 2025
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 152 8 0 28 Jan 2025
Feasible Learning Juan Ramirez Ignacio Hounie Juan Elenter Jose Gallego-Posada Meraj Hashemizadeh Alejandro Ribeiro Simon Lacoste-Julien 88 2 0 28 Jan 2025
Autoencoders for Anomaly Detection are Unreliable Roel Bouman Tom Heskes 86 2 0 23 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 214 1 0 22 Jan 2025
Robust Representation Consistency Model via Contrastive Denoising Jiachen Lei Julius Berner Jiongxiao Wang Zhongzhu Chen Zhongjia Ba Kui Ren Jun Zhu Anima Anandkumar DiffM 156 0 0 22 Jan 2025
With Great Backbones Comes Great Adversarial Transferability Erik Arakelyan Karen Hambardzumyan Davit Papikyan Pasquale Minervini Albert Gordo Isabelle Augenstein Aram H. Markosyan AAML 155 0 0 21 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing Tao Bai Xingjian Tian Yonghao Xu Bihan Wen AAML 104 0 0 20 Jan 2025
MRI2Speech: Speech Synthesis from Articulatory Movements Recorded by Real-time MRI N. Shah Ayan Kashyap Shirish S. Karande Vineet Gandhi 84 1 0 20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 444 0 0 20 Jan 2025
On the Hypomonotone Class of Variational Inequalities Khaled Alomar Tatjana Chavdarova 58 0 0 20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 218 1 0 20 Jan 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 141 0 0 20 Jan 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 512 0 0 17 Jan 2025
On the uncertainty principle of neural networks Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 145 3 0 17 Jan 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 161 5 0 17 Jan 2025
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection Somrita Ghosh Yuelin Xu Xiao Zhang AAML OOD 83 0 0 15 Jan 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics Georgii Gotin E. Shumitskaya Anastasia Antsiferova D. Vatolin AAML 110 0 0 14 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 118 0 0 13 Jan 2025
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction P. Melki Lionel Bombrun Boubacar Diallo Jérôme Dias Jean-Pierre da Costa 74 0 0 13 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 125 0 0 13 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training Hongxin Zhi Hongtao Yu Shaome Li Xiuming Zhao Yiteng Wu OOD 73 0 0 08 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 89 3 0 08 Jan 2025
On the Adversarial Robustness of Benjamini Hochberg Louis L Chen Roberto Szechtman Matan Seri AAML 75 0 0 08 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 84 3 0 08 Jan 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks Yang Wang Chenghua Lin ELM 195 0 0 05 Jan 2025
GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection Yihang Tao Senkang Hu Yue Hu Haonan An Hangcheng Cao Yuguang Fang AAML 119 1 0 05 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50 Umesh Yadav Suman Niraula Gaurav Kumar Gupta Bicky Yadav SILM 179 0 0 04 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models Martin Pawelczyk Lillian Sun Zhenting Qi Aounon Kumar Himabindu Lakkaraju 160 2 0 03 Jan 2025
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks Teng Li Xingjun Ma Yu-Gang Jiang AAML DiffM 137 0 0 03 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM) Xiaoliang Liu Furao Shen Jian Zhao AAML 163 0 0 03 Jan 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Dingkang Yang Hao Tang Yue Liu Wenqiang Zhang AAML 69 0 0 03 Jan 2025
Image-based Multimodal Models as Intruders: Transferable Multimodal Attacks on Video-based MLLMs Linhao Huang Xue Jiang Zhiqiang Wang Wentao Mo Xi Xiao Bo Han Yongjie Yin Feng Zheng AAML 158 4 0 02 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 160 1 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
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 121 0 0 31 Dec 2024
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search Matan Ben-Tov Mahmood Sharif RALM 207 1 0 31 Dec 2024
Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning Y. Sagduyu T. Erpek AAML 75 0 0 31 Dec 2024
Sample Correlation for Fingerprinting Deep Face Recognition Jiyang Guan Jian Liang Yanbo Wang Ran He AAML 154 0 0 31 Dec 2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 77 0 0 31 Dec 2024
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 103 1 0 31 Dec 2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang Shuo He Bingquan Shen Lei Feng Lei Feng AAML 144 1 0 29 Dec 2024
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning Longwei Wang Navid Nayyem Abdullah Rakin AAML 63 0 0 27 Dec 2024
Attribution for Enhanced Explanation with Transferable Adversarial eXploration Zhiyu Zhu Jiayu Zhang Zhibo Jin Huaming Chen Jianlong Zhou Fang Chen AAML ViT 88 0 0 27 Dec 2024
Central limit theorems for vector-valued composite functionals with smoothing and applications Huhui Chen Darinka Dentcheva Yang Lin Gregory J. Stock 109 3 0 26 Dec 2024
Provably Efficient Exploration in Reward Machines with Low Regret Hippolyte Bourel Anders Jonsson Odalric-Ambrym Maillard Chenxiao Ma M. S. Talebi 63 0 0 26 Dec 2024
Evaluating the Adversarial Robustness of Detection Transformers A. Nazeri Chunheng Zhao P. Pisu AAML 114 1 0 25 Dec 2024
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding M. E. Kalfaoglu H. Öztürk Ozsel Kilinc A. Temi̇zel AI4CE 36 0 0 25 Dec 2024
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning Alex Beutel Kai Y. Xiao Johannes Heidecke Lilian Weng AAML 76 7 0 24 Dec 2024
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li Dungy Liu Dawei Cheng Changchun Jiang AAML 83 0 0 23 Dec 2024