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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
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 66 0 0 07 Mar 2024
Adversarial Perturbations of Physical Signals Robert L. Bassett Austin Van Dellen Anthony P. Austin AAML 41 0 0 27 Feb 2024
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust Jin Ding Jie-Chao Zhao Yong-zhi Sun Ping Tan Jia-Wei Wang Ji-en Ma You-tong Fang AAML 98 2 0 26 Feb 2024
Improving behavior based authentication against adversarial attack using XAI Dong Qin G. Amariucai Daji Qiao Yong Guan AAML 102 2 0 26 Feb 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 77 0 0 24 Feb 2024
Reinforcement Learning-Based Approaches for Enhancing Security and Resilience in Smart Control: A Survey on Attack and Defense Methods Zheyu Zhang AAML 47 0 0 23 Feb 2024
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration Zhenbo Song Zhenyuan Zhang Kaihao Zhang Wenhan Luo Zhaoxin Fan Jianfeng Lu AAML 112 0 0 21 Feb 2024
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems Jinjing Shi Zimeng Xiao Heyuan Shi Yu Jiang Xuelong Li AAML 84 1 0 20 Feb 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization Jiyao Li Mingze Ni Yifei Dong Tianqing Zhu Wei Liu AAML 43 3 0 19 Feb 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 96 3 0 16 Feb 2024
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks Jun-Jie Zhang Deyu Meng AAML 78 3 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 92 3 0 15 Feb 2024
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao-Hong Liu Zhuo Lu AAML 49 1 0 14 Feb 2024
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks Qiyuan An Christos Sevastopoulos F. Makedon 53 1 0 13 Feb 2024
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness Xabier Echeberria-Barrio Mikel Gorricho Selene Valencia Francesco Zola AAML 63 1 0 12 Feb 2024
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment Xabier Echeberria-Barrio Amaia Gil-Lerchundi Jon Egana-Zubia Raul Orduna Urrutia AAML 61 6 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 92 6 0 11 Feb 2024
Investigating White-Box Attacks for On-Device Models M. Zhou Xiang Gao Jing Wu Kui Liu Hailong Sun Li Li AAML 97 9 0 08 Feb 2024
Studying Vulnerable Code Entities in R ZiXiao Zhao Millon Madhur Das Fatemeh H. Fard AAML 89 0 0 06 Feb 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics Shuai Li Xiaoyu Jiang Xiaoguang Ma AAML 71 0 0 05 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers Oryan Yehezkel Alon Zolfi Amit Baras Yuval Elovici A. Shabtai AAML 77 2 0 04 Feb 2024
Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation Elaf Alhazmi Quan Z. Sheng W. Zhang Munazza Zaib A. Alhazmi AI4Ed 85 1 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 126 20 0 02 Feb 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 66 0 0 25 Jan 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 63 4 0 24 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 102 3 0 22 Jan 2024
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks Zerui Wang Yan Liu AAML 56 2 0 22 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 52 1 0 20 Jan 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification Yunpeng Gong Zhun Zhong Zhiming Luo Yansong Qu Rongrong Ji Min Jiang AAML 139 26 0 18 Jan 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement Holger Boche Adalbert Fono Gitta Kutyniok FaML 103 4 0 18 Jan 2024
Querying Easily Flip-flopped Samples for Deep Active Learning S. Cho G. Kim Junghyun Lee Jinwoo Shin Chang D. Yoo 96 6 0 18 Jan 2024
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks Giovanni Pasqualino Luca Guarnera A. Ortis Sebastiano Battiato MedIm 84 4 0 17 Jan 2024
Do stable neural networks exist for classification problems? -- A new view on stability in AI Z. N. D. Liu A. C. Hansen 71 0 0 15 Jan 2024
Left-right Discrepancy for Adversarial Attack on Stereo Networks Pengfei Wang Xiaofei Hui Beijia Lu Nimrod Lilith Jun Liu Sameer Alam AAML 96 2 0 14 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 157 1 0 12 Jan 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 93 7 0 10 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 135 0 0 09 Jan 2024
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples Ryota Iijima Sayaka Shiota Hitoshi Kiya AAML 41 0 0 05 Jan 2024
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example B. Tondi Wei Guo Mauro Barni AAML 35 0 0 02 Jan 2024
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 76 2 0 29 Dec 2023
Adversarial Attacks on Image Classification Models: Analysis and Defense Jaydip Sen Abhiraj Sen Ananda Chatterjee AAML 56 4 0 28 Dec 2023
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model Xianyi Chen Fazhan Liu Dong Jiang Kai Yan AAML DiffM 49 1 0 27 Dec 2023
AdvCloak: Customized Adversarial Cloak for Privacy Protection Xuannan Liu Yaoyao Zhong Xingchen Cui Yuhang Zhang Peipei Li Weihong Deng PICV 58 2 0 22 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples Ruichu Cai Yuxuan Zhu Jie Qiao Zefeng Liang Furui Liu Zhifeng Hao CML 94 5 0 21 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 86 0 0 21 Dec 2023
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 88 4 0 19 Dec 2023
Towards Transferable Targeted 3D Adversarial Attack in the Physical World Yao Huang Yinpeng Dong Shouwei Ruan Xiao Yang Hang Su Xingxing Wei DiffM 87 18 0 15 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 162 4 0 15 Dec 2023
Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection Samrat Mukherjee Dibyanayan Bandyopadhyay Baban Gain Asif Ekbal AAML MedIm FedML 33 0 0 13 Dec 2023
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems Michael Lanier Aayush Dhakal Zhexiao Xiong Arthur Li Nathan Jacobs Yevgeniy Vorobeychik 118 0 0 12 Dec 2023