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DeepFool: a simple and accurate method to fool deep neural networks
v1v2v3 (latest)

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

14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
    AAML
ArXiv (abs)PDFHTML

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

50 / 2,353 papers shown
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OODAAML
152
0
0
03 Dec 2025
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
Automatic Attack Discovery for Few-Shot Class-Incremental Learning via Large Language Models
Haidong Kang
Wei Wu
Hanling Wang
CLLAAML
205
0
0
03 Dec 2025
INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifacts
INSIGHT: An Interpretable Neural Vision-Language Framework for Reasoning of Generative Artifacts
Anshul Bagaria
DiffM
88
0
0
27 Nov 2025
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery DetectionIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Chi Liu
Tianqing Zhu
Wanlei Zhou
Wei Zhao
AAML
128
0
0
25 Nov 2025
Towards Trustworthy Wi-Fi Sensing: Systematic Evaluation of Deep Learning Model Robustness to Adversarial Attacks
Towards Trustworthy Wi-Fi Sensing: Systematic Evaluation of Deep Learning Model Robustness to Adversarial Attacks
Shreevanth Krishnaa Gopalakrishnan
Stephen Hailes
AAMLOOD
221
0
0
25 Nov 2025
Robust Physical Adversarial Patches Using Dynamically Optimized Clusters
Robust Physical Adversarial Patches Using Dynamically Optimized Clusters
Harrison Bagley
Will Meakin
Simon Lucey
Yee Wei Law
Tat-Jun Chin
AAML
126
0
0
23 Nov 2025
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
Jin Cui
Boran Zhao
Jiajun Xu
Jiaqi Guo
Shuo Guan
Pengju Ren
OOD
157
0
0
22 Nov 2025
A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning based Intrusion Detection Systems
A Novel and Practical Universal Adversarial Perturbations against Deep Reinforcement Learning based Intrusion Detection Systems
H. Zhang
Liyue Zhang
G. Epiphaniou
C. Maple
AAML
101
0
0
22 Nov 2025
Deep learning models are vulnerable, but adversarial examples are even more vulnerable
Deep learning models are vulnerable, but adversarial examples are even more vulnerable
Jun Li
Yanwei Xu
Keran Li
Xiaoli Zhang
AAML
234
0
0
07 Nov 2025
A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model
A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model
Sampriti Soor
Alik Pramanick
Jothiprakash K
Arijit Sur
AAMLGANVLM
645
0
0
03 Nov 2025
MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
Lucie Flek
Oliver Janik
Philipp Alexander Jung
Akbar Karimi
Timo Saala
...
Matthias Schott
Philipp Soldin
Matthias Thiesmeyer
Christopher Wiebusch
Ulrich Willemsen
AAML
61
0
0
03 Nov 2025
ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning
ANCHOR: Integrating Adversarial Training with Hard-mined Supervised Contrastive Learning for Robust Representation Learning
Samarup Bhattacharya
Anubhab Bhattacharya
Abir Chakraborty
AAML
131
0
0
31 Oct 2025
Bilevel Models for Adversarial Learning and A Case Study
Bilevel Models for Adversarial Learning and A Case Study
Yutong Zheng
Qingna Li
AAML
184
0
0
29 Oct 2025
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation
Pranshav Gajjar
Molham Khoja
Abiodun Ganiyu
Marc Juarez
Mahesh K. Marina
Andrew Lehane
Vijay K. Shah
133
0
0
20 Oct 2025
Constrained Adversarial Perturbation
Constrained Adversarial Perturbation
Virendra Nishad
B. Mukhoty
Hilal AlQuabeh
S. Shukla
Sayak Ray Chowdhury
AAML
143
0
0
17 Oct 2025
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
Bach C. Le
Tung V. Dao
Binh T. Nguyen
Hong T.M. Chu
OOD
183
0
0
11 Oct 2025
Text Prompt Injection of Vision Language Models
Text Prompt Injection of Vision Language Models
Ruizhe Zhu
SILMVLM
340
1
0
10 Oct 2025
Robustness and Regularization in Hierarchical Re-Basin
Robustness and Regularization in Hierarchical Re-BasinThe European Symposium on Artificial Neural Networks (ESANN), 2025
Benedikt Franke
Florian Heinrich
Markus Lange
Arne P. Raulf
MoMeAAML
275
1
0
10 Oct 2025
SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense
SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense
Jiayang Liu
Daniel Tso
Yiming Bu
Qinru Qiu
AAML
112
0
0
09 Oct 2025
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting
Zero-Shot Robustness of Vision Language Models Via Confidence-Aware Weighting
Nikoo Naghavian
Mostafa Tavassolipour
AAMLVLM
139
0
0
03 Oct 2025
A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison
Chinthana Wimalasuriya
Spyros Tragoudas
AAML
93
0
0
03 Oct 2025
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions
StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions
Bo-Hsu Ke
You-Zhe Xie
Yu-Lun Liu
Wei-Chen Chiu
AAML3DGS
179
1
0
02 Oct 2025
Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
Mirage Fools the Ear, Mute Hides the Truth: Precise Targeted Adversarial Attacks on Polyphonic Sound Event Detection Systems
Junjie Su
Weifei Jin
Yuxin Cao
Derui Wang
Kai Ye
Jie Hao
AAML
110
0
0
02 Oct 2025
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Daofu Zhang
Mehrdad Pournaderi
Hanne M. Clifford
Yu Xiang
Pramod K. Varshney
AAML
95
1
0
01 Oct 2025
ZQBA: Zero Query Black-box Adversarial Attack
ZQBA: Zero Query Black-box Adversarial Attack
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
DiffM
270
1
0
01 Oct 2025
Influence-Guided Concolic Testing of Transformer Robustness
Influence-Guided Concolic Testing of Transformer Robustness
Chih-Duo Hong
Yu Wang
Yao-Chen Chang
Fang Yu
128
0
0
28 Sep 2025
Dynamic Dual-level Defense Routing for Continual Adversarial Training
Dynamic Dual-level Defense Routing for Continual Adversarial Training
Wenxuan Wang
Chenglei Wang
Xuelin Qian
AAML
104
0
0
24 Sep 2025
Efficiently Attacking Memorization Scores
Efficiently Attacking Memorization Scores
Tue Do
Varun Chandrasekaran
Daniel Alabi
TDIAAML
265
0
0
24 Sep 2025
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen
Han Zhao
AAML
128
0
0
24 Sep 2025
DiffHash: Text-Guided Targeted Attack via Diffusion Models against Deep Hashing Image Retrieval
DiffHash: Text-Guided Targeted Attack via Diffusion Models against Deep Hashing Image Retrieval
Zechao Liu
Zheng Zhou
Xiangkun Chen
Tao Liang
Dapeng Lang
DiffMAAML
186
0
0
16 Sep 2025
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Sy-FAR: Symmetry-based Fair Adversarial Robustness
Haneen Najjar
Eyal Ronen
Mahmood Sharif
AAML
169
0
0
16 Sep 2025
DARD: Dice Adversarial Robustness Distillation against Adversarial Attacks
DARD: Dice Adversarial Robustness Distillation against Adversarial Attacks
Jing Zou
Shungeng Zhang
Meikang Qiu
Chong Li
AAML
120
0
0
15 Sep 2025
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection Against Adversarial Attacks
Jing Chen
Onat Gungor
Zhengli Shang
T. Rosing
AAML
109
0
0
09 Sep 2025
NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables
Yilin Li
Guozhu Meng
Mingyang Sun
Yanzhong Wang
Kun Sun
Hailong Chang
Yuekang Li
149
0
0
08 Sep 2025
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Adversarial Attacks on Audio Deepfake Detection: A Benchmark and Comparative Study
Kutub Uddin
Muhammad Umar Farooq
Awais Khan
K. Malik
AAML
106
0
0
08 Sep 2025
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs
William Brooks
Marelie Hattingh Davel
Coenraad Mouton
AAML
70
0
0
25 Aug 2025
Adversarial Examples Are Not Bugs, They Are Superposition
Adversarial Examples Are Not Bugs, They Are Superposition
Liv Gorton
Owen Lewis
AAML
201
3
0
24 Aug 2025
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
NAT: Learning to Attack Neurons for Enhanced Adversarial TransferabilityIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Krishna Kanth Nakka
Alexandre Alahi
AAML
142
2
0
23 Aug 2025
An Investigation of Visual Foundation Models Robustness
An Investigation of Visual Foundation Models Robustness
Sandeep Gupta
Roberto Passerone
AAML
124
0
0
22 Aug 2025
ETA: Energy-based Test-time Adaptation for Depth Completion
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung
Hyoungseob Park
Patrick Rim
Xiaoran Zhang
Jihe He
Ziyao Zeng
Safa Cicek
Byung-Woo Hong
James S. Duncan
Alex Wong
TTA
351
2
0
08 Aug 2025
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
Samuel Räber
Till Aczél
Andreas Plesner
Roger Wattenhofer
DiffMAAML
256
0
0
07 Aug 2025
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss
Yunrui Yu
Hang Su
Cheng-zhong Xu
Zhizhong Su
Jun Zhu
150
0
0
30 Jul 2025
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
Yunrui Yu
Kafeng Wang
Hang Su
Jun-Jie Zhu
AAML
150
0
0
30 Jul 2025
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
Hayat Ullah
Syed Muhammad Talha Zaidi
Arslan Munir
AAML
216
0
0
28 Jul 2025
On the Interaction of Compressibility and Adversarial Robustness
On the Interaction of Compressibility and Adversarial Robustness
Melih Barsbey
Antônio H. Ribeiro
Umut Simsekli
Tolga Birdal
AAML
232
2
0
23 Jul 2025
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based PriorsInternational Conference on Learning Representations (ICLR), 2025
Chen Ma
Xinjie Xu
Shuyu Cheng
Qi Xuan
AAML
131
1
0
23 Jul 2025
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Yiran Qiao
Disheng Liu
Yiren Lu
Yu Yin
Mengnan Du
Jing Ma
GANCMLAAML
276
0
0
14 Jul 2025
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models
Chihan Huang
Hao Tang
DiffM
265
2
0
08 Jul 2025
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review
Salijona Dyrmishi
Mohamed Djilani
Thibault Simonetto
Salah Ghamizi
Maxime Cordy
AAMLLMTD
219
0
0
18 Jun 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew C. Cullen
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
252
0
0
16 Jun 2025
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