v1v2v3 (latest)

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
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 35 4 0 15 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks Q. Hu Daizong Liu Wei Hu AAML 3DPC 151 23 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 103 16 0 15 Feb 2022
GAN-generated Faces Detection: A Survey and New Perspectives Xin Wang Hui Guo Shu Hu Ming-Ching Chang Siwei Lyu CVBM 120 65 0 15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 73 1 0 14 Feb 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons Haibo Jin Ruoxi Chen Haibin Zheng Jinyin Chen Yao Cheng Yue Yu Xianglong Liu AAML 59 6 0 12 Feb 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition Jiwei Tian Buhong Wang Jing Li Zhen Wang Mete Ozay AAML 102 0 0 11 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 71 4 0 10 Feb 2022
Feature-level augmentation to improve robustness of deep neural networks to affine transformations A. Sandru Mariana-Iuliana Georgescu Radu Tudor Ionescu OOD 48 3 0 10 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 72 1 0 10 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 114 18 0 08 Feb 2022
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images Roozbeh Yousefzadeh FAtt 86 5 0 05 Feb 2022
On the predictability in reversible steganography Ching-Chun Chang Xu Wang Sisheng Chen Hitoshi Kiya Isao Echizen 31 2 0 05 Feb 2022
Pixle: a fast and effective black-box attack based on rearranging pixels Jary Pomponi Simone Scardapane A. Uncini AAML 63 36 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 92 6 0 02 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 109 43 0 02 Feb 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 76 36 0 29 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 167 67 0 27 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 56 2 0 23 Jan 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work Adam Dziedzic Muhammad Ahmad Kaleem Y. Lu Nicolas Papernot FedML MIACV AAML MLAU 130 29 0 23 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 85 47 0 20 Jan 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 106 37 0 20 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 92 24 0 19 Jan 2022
Adversarially Robust Classification by Conditional Generative Model Inversion Mitra Alirezaei Tolga Tasdizen AAML 40 0 0 12 Jan 2022
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data Sunder Ali Khowaja I. Lee Kapal Dev M. Jarwar N. Qureshi AAML 85 16 0 12 Jan 2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition Hanrui Wang Shuo Wang Zhe Jin Yandan Wang Cunjian Chen Massimo Tistarelli AAML 143 16 0 11 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics Haya Brama L. Dery Tal Grinshpoun AAML 61 8 0 10 Jan 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection R. Kaur Susmit Jha Anirban Roy Sangdon Park Yan Sun O. Sokolsky Insup Lee OODD 64 47 0 07 Jan 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training Yatong Bai Tanmay Gautam Somayeh Sojoudi AAML 112 17 0 06 Jan 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 80 41 0 05 Jan 2022
Sparse Super-Regular Networks Andrew W. E. McDonald A. Shokoufandeh 123 5 0 04 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 63 8 0 04 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 88 21 0 04 Jan 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xiangli Yang Yun Lin Ruofan Liu Zhenfeng He Chao Wang Jinlong Dong Hong Mei 34 5 0 31 Dec 2021
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 71 7 0 29 Dec 2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 94 37 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 63 5 0 28 Dec 2021
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 50 0 0 27 Dec 2021
Sparsest Univariate Learning Models Under Lipschitz Constraint Shayan Aziznejad Thomas Debarre M. Unser 77 4 0 27 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 64 9 0 25 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 95 17 0 24 Dec 2021
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 41 0 0 23 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 86 5 0 22 Dec 2021
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 103 64 0 21 Dec 2021
A Theoretical View of Linear Backpropagation and Its Convergence Ziang Li Yiwen Guo Haodi Liu Changshui Zhang AAML 38 4 0 21 Dec 2021
Energy-bounded Learning for Robust Models of Code Nghi D. Q. Bui Yijun Yu OODD 81 2 0 20 Dec 2021
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network An Tao Yueqi Duan He Wang Ziyi Wu Pengliang Ji Haowen Sun Jie Zhou Jiwen Lu 160 1 0 17 Dec 2021
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living Siddharth Ravi Pau Climent-Pérez Francisco Flórez-Revuelta 80 35 0 17 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 57 8 0 16 Dec 2021
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations Shivangi Aneja Lev Markhasin Matthias Niessner AAML DiffM PICV 106 21 0 16 Dec 2021