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DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,298 papers shown

Title
Life-Cycle Routing Vulnerabilities of LLM Router Qiqi Lin Xiaoyang Ji Shengfang Zhai Qingni Shen Zhi-Li Zhang Yuejian Fang Yansong Gao AAML 90 1 0 09 Mar 2025
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks Daryna Oliynyk Rudolf Mayer Andreas Rauber AAML 83 0 0 08 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 157 0 0 08 Mar 2025
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 70 0 0 06 Mar 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP Songlong Xing Zhengyu Zhao N. Sebe AAML 153 2 0 05 Mar 2025
Task-Agnostic Attacks Against Vision Foundation Models Brian Pulfer Yury Belousov Vitaliy Kinakh Teddy Furon S. Voloshynovskiy AAML 111 0 0 05 Mar 2025
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges Nandish Chattopadhyay Abdul Basit B. Ouni Muhammad Shafique AAML 89 0 0 01 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior Chanhui Lee Yeonghwan Song Jeany Son AAML 429 0 0 28 Feb 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 127 0 0 27 Feb 2025
Unified Prompt Attack Against Text-to-Image Generation Models Duo Peng Qiuhong Ke Mark He Huang Ping Hu Jing Liu 89 1 0 23 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 184 0 0 20 Feb 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception Yuanhao Huang Qinfan Zhang Jiandong Xing Mengyue Cheng Haiyang Yu Yilong Ren Xiao Xiong AAML 108 2 0 12 Feb 2025
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models Samuel Stevens Wei-Lun Chao T. Berger-Wolf Yu-Chuan Su VLM 148 6 0 10 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 147 0 0 04 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples Hossein Mirzaei Ali Ansari Bahar Dibaei Nia Mojtaba Nafez Moein Madadi ... Kian Shamsaie Mahdi Hajialilue Jafar Habibi Mohammad Sabokrou M. Rohban OODD 143 3 0 28 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
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
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 77 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
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Ziqi Zhou Bowen Li Yufei Song Zhifei Yu Shengshan Hu Wei Wan L. Zhang Dezhong Yao Hai Jin AAML 177 2 0 22 Dec 2024
Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery Mikael Yeghiazaryan Sai Abhishek Siddhartha Namburu Emily Kim Stanislav Panev Celso de Melo Brent Lance Fernando de la Torre Jessica K. Hodgins AAML 130 0 0 20 Dec 2024
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Martin Aubard Ana Madureira Luis F. Teixeira José Pinto AAML 140 3 0 16 Dec 2024
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Svetlana Pavlitska Enrico Eisen J. Marius Zöllner AAML UQCV MoE 176 1 0 16 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 203 1 0 16 Dec 2024
Improving Graph Neural Networks via Adversarial Robustness Evaluation Yongyu Wang AAML 102 0 0 14 Dec 2024
Image Privacy Protection: A Survey Wenying Wen Ziye Yuan Yushu Zhang Tao Wang Xiangli Xiao Ruoyu Zhao Yuming Fang PILM 136 0 0 05 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 164 0 0 04 Dec 2024
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 158 0 0 30 Nov 2024
Face De-identification: State-of-the-art Methods and Comparative Studies Jingyi Cao Xiangyi Chen Bo Liu Ming Ding Rong Xie Li Song Zhu Li Wenjun Zhang PICV 91 2 0 15 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service Kai-Fung Chu Haiyue Yuan Jinsheng Yuan Weisi Guo Nazmiye Balta-Ozkan Shujun Li 76 3 0 08 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 88 0 0 06 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 105 11 0 03 Nov 2024
DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models Haifeng Sun Lan Zhang Xiang-Yang Li 97 0 0 01 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding Ehsan Ganjidoost Jeff Orchard AAML 47 0 0 31 Oct 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung Margret Keuper AAML 94 3 0 30 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 102 7 0 29 Oct 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 70 0 0 21 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models Yuhan Liang Yijun Li Yumeng Niu Qianhe Shen Hangyu Liu VLM AAML 42 1 0 18 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 66 1 0 16 Oct 2024
Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro Thomas B. Schon Dave Zahariah Francis Bach AAML 112 2 0 16 Oct 2024
Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Sajad Movahedi Antonio Orvieto Seyed-Mohsen Moosavi-Dezfooli AI4CE AAML 583 0 0 15 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 105 1 0 14 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 81 1 0 06 Oct 2024
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 72 0 0 06 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness Elie Attias Cengiz Pehlevan D. Obeid AAML OOD 71 0 0 04 Oct 2024
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks Rakesh Podder Sudipto Ghosh AAML 58 1 0 02 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 108 1 0 02 Oct 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
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