v1v2v3v4 (latest)

Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

ArXiv (abs)PDF HTML Github (752★)

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

50 / 6,612 papers shown

Title
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan Yuhang He Xiang Song Yihong Gong DiffM AAML 100 7 0 20 Aug 2024
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 29 5 0 20 Aug 2024
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse Zhongliang Guo Lei Fang Jingyu Lin Yifei Qian Shuai Zhao Zeyu Wang Zeyu Wang Cunjian Chen Ognjen Arandjelović Chun Pong Lau DiffM AAML 135 9 0 20 Aug 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 90 0 0 19 Aug 2024
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis Kira Maag Roman Resner Asja Fischer AAML 106 0 0 19 Aug 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving Jun Yan Pengyu Wang Danni Wang Weiquan Huang Daniel Watzenig Huilin Yin AAML VLM 81 4 0 19 Aug 2024
Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting Yun-Da Tsai Ting-Yu Yen Keng-Te Liao Shou-De Lin 88 2 0 19 Aug 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 107 1 0 19 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning Jiahao Chen Zhou Feng Rui Zeng Yuwen Pu Chunyi Zhou Yi Jiang Yuyou Gan Jinbao Li Shouling Ji AAML 106 1 0 18 Aug 2024
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection Kaiwen Wang Yinzhe Shen Martin Lauer AAML 78 0 0 18 Aug 2024
DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization Pucheng Dang Xing Hu Dong Li Rui Zhang Qi Guo Kaidi Xu DiffM 109 7 0 18 Aug 2024
Neuro-Symbolic AI for Military Applications D. Hagos D. Rawat NAI 80 4 0 17 Aug 2024
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies Mohammad Hossein Najafi Mohammad Morsali Mohammadmahdi Vahediahmar Saeed Bagheri Shouraki AAML MedIm 98 0 0 16 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness Hefei Mei Minjing Dong Chang Xu AAML 178 0 0 16 Aug 2024
Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability Haniyeh Ehsani Oskouie Lionel Levine Majid Sarrafzadeh 48 2 0 15 Aug 2024
A Multi-task Adversarial Attack Against Face Authentication Hanrui Wang Shuo Wang Cunjian Chen Massimo Tistarelli Zhe Jin CVBM AAML 137 7 0 15 Aug 2024
Unlearnable Examples Detection via Iterative Filtering Yi Yu Qichen Zheng Siyuan Yang Wenhan Yang Jun Liu Shijian Lu Yap-Peng Tan Kwok-Yan Lam Alex Kot AAML 84 1 0 15 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 83 1 0 14 Aug 2024
Boosting Unconstrained Face Recognition with Targeted Style Adversary Mohammad Saeed Ebrahimi Saadabadi Sahar Rahimi Malakshan Seyed Rasoul Hosseini Nasser M. Nasrabadi CVBM 74 0 0 14 Aug 2024
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis Chang Dong Liangwei Nathan Zheng Weitong Chen AI4TS 79 16 0 14 Aug 2024
Robust Black-box Testing of Deep Neural Networks using Co-Domain Coverage Aishwarya Gupta Indranil Saha Piyush Rai AAML MLAU 58 1 0 13 Aug 2024
DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World Jikang Cheng Ying Zhang Zhongyuan Wang Zou Qin Chen Li AAML 51 0 0 13 Aug 2024
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting Felix Assion Florens Gressner Nitin Augustine Jona Klemenc Ahmed Hammam Alexandre Krattinger Holger Trittenbach Sascha Riemer 67 2 0 12 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 96 6 0 12 Aug 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Shaozi Li Shaozi Li AAML 84 0 0 12 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization Yangdi Wang Zhi-Hai Zhang Su Xiu Xu Wenming Guo 63 0 0 09 Aug 2024
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model Yuanpu Cao Lu Lin Jinghui Chen DiffM 80 1 0 09 Aug 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit Duanyi Yao Songze Li Ye Xue Jin Liu FedML AAML 80 1 0 08 Aug 2024
LaFA: Latent Feature Attacks on Non-negative Matrix Factorization Minh Vu Ben Nebgen E. Skau Geigh Zollicoffer Juan Castorena Kim Ø. Rasmussen Boian S. Alexandrov Manish Bhattarai AAML 43 0 0 07 Aug 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks Keiichiro Yamamura Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 86 0 0 07 Aug 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 114 19 0 06 Aug 2024
Sample-agnostic Adversarial Perturbation for Vision-Language Pre-training Models Haonan Zheng Wen Jiang Xinyang Deng Wenrui Li VLM AAML 63 4 0 06 Aug 2024
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 106 5 0 04 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 90 1 0 04 Aug 2024
Joint Universal Adversarial Perturbations with Interpretations Liang-bo Ning Zeyu Dai Wenqi Fan Jingran Su Chao Pan Luning Wang Qing Li AAML 72 2 0 03 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Weijie Zheng Xingjun Ma Hanxun Huang Zuxuan Wu Yu-Gang Jiang AAML 102 0 0 03 Aug 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs Jingtong Su Mingyu Lee SangKeun Lee 93 12 0 02 Aug 2024
Certifiably Robust Encoding Schemes Aman Saxena Tom Wollschlager Nicola Franco J. M. Lorenz Stephan Günnemann OOD AAML 80 1 0 02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 56 1 0 02 Aug 2024
PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services Chu Qiao Cong Wang Zhenkai Zhang Guohao Lan PICV 94 2 0 01 Aug 2024
Deepfake Media Forensics: State of the Art and Challenges Ahead Irene Amerini Mauro Barni Sebastiano Battiato Paolo Bestagini Giulia Boato ... Davide Salvi Stefano Tubaro Claudia Melis Tonti Massimo Villari D. Vitulano AAML 107 7 0 01 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 83 0 0 01 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 175 12 0 01 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 108 1 0 31 Jul 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? Richard Ren Steven Basart Adam Khoja Alice Gatti Long Phan ... Alexander Pan Gabriel Mukobi Ryan H. Kim Stephen Fitz Dan Hendrycks ELM 77 25 0 31 Jul 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 137 5 0 30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 185 5 0 30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks Yunfeng Diao Na Zhai Changtao Miao Xun Yang Meng Wang Xun Yang Meng Wang AAML 164 2 0 30 Jul 2024
Tightening the Evaluation of PAC Bounds Using Formal Verification Results Thomas Walker A. Lomuscio 60 0 0 29 Jul 2024
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter Chao Liu Xin Liu Zi-jian Yu Yonghong Hou Huanjing Yue Jingyu Yang AAML 64 0 0 29 Jul 2024