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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
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Gregorio Martínez Pérez AAML 89 18 0 30 Dec 2022
Differentiable Search of Accurate and Robust Architectures Yuwei Ou Xiangning Xie Shan Gao Yanan Sun Kay Chen Tan Jiancheng Lv OOD AAML 69 2 0 28 Dec 2022
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 75 3 0 28 Dec 2022
Aliasing is a Driver of Adversarial Attacks Adrian Rodriguez-Munoz Antonio Torralba AAML 64 0 0 22 Dec 2022
End to End Generative Meta Curriculum Learning For Medical Data Augmentation Meng Li Brian C. Lovell MedIm 96 4 0 20 Dec 2022
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 108 34 0 18 Dec 2022
Confidence-aware Training of Smoothed Classifiers for Certified Robustness Jongheon Jeong Seojin Kim Jinwoo Shin AAML 89 7 0 18 Dec 2022
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 71 1 0 16 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 98 71 0 14 Dec 2022
SAIF: Sparse Adversarial and Imperceptible Attack Framework Tooba Imtiaz Morgan Kohler Jared Miller Zifeng Wang Octavia Camps Mario Sznaier Octavia Camps Jennifer Dy AAML 100 0 0 14 Dec 2022
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection P. Lorenz Margret Keuper J. Keuper AAML 95 7 0 13 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 97 15 0 12 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions Chih-Hui Ho Nuno Vasconcelos AAML 130 39 0 11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 61 2 0 11 Dec 2022
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 82 15 0 08 Dec 2022
$Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance$ Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$ -norms For Better Adversarial Performance Ngoc N. Tran Anh Tuan Bui Dinh Q. Phung Trung Le AAML 53 1 0 05 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 83 35 0 05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo Zhang Gang Hua Xiaolin Hu 72 26 0 04 Dec 2022
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 117 5 0 01 Dec 2022
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 114 22 0 28 Nov 2022
Foiling Explanations in Deep Neural Networks Snir Vitrack Tamam Raz Lapid Moshe Sipper AAML 75 17 0 27 Nov 2022
The Vanishing Decision Boundary Complexity and the Strong First Component Hengshuai Yao UQCV 66 0 0 25 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting Muhammad Zaid Hameed Beat Buesser AAML 57 1 0 25 Nov 2022
To be or not to be stable, that is the question: understanding neural networks for inverse problems David Evangelista J. Nagy E. Morotti E. L. Piccolomini 76 5 0 24 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 58 2 0 23 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Ajmal Mian M. Shah AAML 69 1 0 23 Nov 2022
OCTET: Object-aware Counterfactual Explanations Mehdi Zemni Mickaël Chen Éloi Zablocki H. Ben-younes Patrick Pérez Matthieu Cord AAML 107 29 0 22 Nov 2022
DualApp: Tight Over-Approximation for Neural Network Robustness Verification via Under-Approximation Yiting Wu Zhaodi Zhang Zhiyi Xue Si Liu Hao Fei AAML 56 0 0 21 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 187 0 0 18 Nov 2022
Efficiently Finding Adversarial Examples with DNN Preprocessing Avriti Chauhan Mohammad Afzal Hrishikesh Karmarkar Y. Elboher Kumar Madhukar Guy Katz AAML 57 0 0 16 Nov 2022
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection N. Doan Arda Yüksel Chih-Hong Cheng AAML 63 1 0 14 Nov 2022
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses A. Kolli M. Jehanzeb Mirza Horst Possegger Horst Bischof AAML 68 1 0 10 Nov 2022
Impact of Adversarial Training on Robustness and Generalizability of Language Models Enes Altinisik Hassan Sajjad Husrev Taha Sencar Safa Messaoud Sanjay Chawla AAML 59 11 0 10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data Jaechul Roh Yajun Fang FedML CVBM AAML 61 0 0 10 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 74 4 0 09 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 82 4 0 09 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 101 1 0 07 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 148 11 0 03 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 112 29 0 01 Nov 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 68 0 0 31 Oct 2022
Benchmarking Adversarial Patch Against Aerial Detection Jiawei Lian Shaohui Mei Shun Zhang Mingyang Ma AAML 94 58 0 30 Oct 2022
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems Islam Debicha Richard Bauwens Thibault Debatty Jean-Michel Dricot Tayeb Kenaza Wim Mees AAML 69 46 0 27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 40 11 0 26 Oct 2022
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu AAML 68 6 0 26 Oct 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers Jian Wang Miaomiao Zhang 82 10 0 25 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 78 8 0 23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 122 5 0 21 Oct 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 111 31 0 21 Oct 2022
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples Hui Liu Bo Zhao Kehuan Zhang Peng Liu AAML 58 4 0 16 Oct 2022