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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 / 2,298 papers shown
Title
A Primer on Bayesian Neural Networks: Review and Debates
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDLAAML
105
20
0
28 Sep 2023
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial Transferability
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
76
66
0
26 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via
  Multiresolution Learning
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning
Hongyan Zhou
Yao Liang
OOD
119
0
0
24 Sep 2023
Improving Machine Learning Robustness via Adversarial Training
Improving Machine Learning Robustness via Adversarial Training
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OODAAML
60
2
0
22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose
  Estimation
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
Krishna Kanth Nakka
Mathieu Salzmann
DRLCoGe
79
2
0
20 Sep 2023
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack
  on Speech Recognition
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition
Mohamad Fakih
R. Kanj
Fadi J. Kurdahi
M. Fouda
AAML
51
0
0
20 Sep 2023
PRAT: PRofiling Adversarial aTtacks
PRAT: PRofiling Adversarial aTtacks
Rahul Ambati
Naveed Akhtar
Ajmal Mian
Yogesh S Rawat
AAML
53
1
0
20 Sep 2023
What Learned Representations and Influence Functions Can Tell Us About
  Adversarial Examples
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
Shakila Mahjabin Tonni
Mark Dras
TDIAAMLGAN
60
0
0
19 Sep 2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style
  Optimization
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
Huihui Gong
Minjing Dong
Siqi Ma
S. Çamtepe
Surya Nepal
Chang Xu
AAML
37
4
0
18 Sep 2023
Robust Backdoor Attacks on Object Detection in Real World
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian
Boyuan Ji
Shuke He
Shenhui Huang
Xiang Ling
Bin Wang
Wen Wang
100
4
0
16 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
59
3
0
11 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
74
2
0
10 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness
Exploring Robust Features for Improving Adversarial Robustness
Hong Wang
Yuefan Deng
Shinjae Yoo
Yuewei Lin
AAML
98
4
0
09 Sep 2023
Adversarial attacks on hybrid classical-quantum Deep Learning models for
  Histopathological Cancer Detection
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection
Biswaraj Baral
Reek Majumdar
Bhavika Bhalgamiya
Taposh Dutta Roy
MedImAAML
116
1
0
08 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
Hondamunige Prasanna Silva
Lorenzo Seidenari
A. Bimbo
DiffM
59
6
0
07 Sep 2023
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Raz Lapid
Ron Langberg
Moshe Sipper
AAML
135
112
0
04 Sep 2023
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified
  Models
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
AAML
43
2
0
02 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate
  Accuracy-Robustness Tradeoff
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
Satoshi Suzuki
Shin'ya Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
94
5
0
31 Aug 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart
  Grid: A Review
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
113
47
0
30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Arezoo Rajabi
Surudhi Asokraj
Feng-Shr Jiang
Luyao Niu
Bhaskar Ramasubramanian
J. Ritcey
Radha Poovendran
AAML
54
1
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
91
8
0
29 Aug 2023
Input margins can predict generalization too
Input margins can predict generalization too
Coenraad Mouton
Marthinus W. Theunissen
Marelie Hattingh Davel
AAMLUQCVAI4CE
70
4
0
29 Aug 2023
Imperceptible Adversarial Attack on Deep Neural Networks from Image
  Boundary
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
Fahad Alrasheedi
Agnibh Dasgupta
AAML
77
2
0
29 Aug 2023
A Classification-Guided Approach for Adversarial Attacks against Neural
  Machine Translation
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAMLSILM
83
2
0
29 Aug 2023
Classification robustness to common optical aberrations
Classification robustness to common optical aberrations
Patrick Müller
Alexander Braun
Margret Keuper
68
10
0
29 Aug 2023
On-Manifold Projected Gradient Descent
On-Manifold Projected Gradient Descent
Aaron Mahler
Tyrus Berry
Thomas Stephens
Harbir Antil
Michael Merritt
Jeanie Schreiber
Ioannis G. Kevrekidis
AAML
82
0
0
23 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
94
19
0
21 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
146
3
0
20 Aug 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing
  Framework for Content Moderation Software
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
Wenxuan Wang
Jingyuan Huang
Jen-tse Huang
Chang Chen
Jiazhen Gu
Pinjia He
Michael R. Lyu
VLM
61
6
0
18 Aug 2023
Attacking logo-based phishing website detectors with adversarial
  perturbations
Attacking logo-based phishing website detectors with adversarial perturbations
Jehyun Lee
Zhe Xin
Melanie Ng Pei See
Kanav Sabharwal
Giovanni Apruzzese
D. Divakaran
AAML
89
8
0
18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic
  Transformations via Transformation-Dependent Randomized Smoothing
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
81
0
0
17 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
72
2
0
16 Aug 2023
A Review of Adversarial Attacks in Computer Vision
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
86
3
0
15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network
  Intrusion Detection
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino
Isabel Praça
Eva Maia
AAML
61
26
0
13 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural
  Networks to Unseen Adversarial Attacks
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks
R. Garaev
Bader Rasheed
Adil Mehmood Khan
AAMLOOD
36
2
0
12 Aug 2023
Continual Face Forgery Detection via Historical Distribution Preserving
Continual Face Forgery Detection via Historical Distribution Preserving
Ke Sun
Shen Chen
Taiping Yao
Xiaoshuai Sun
Shouhong Ding
Rongrong Ji
CVBMAAML
93
4
0
11 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current
  Trends, Categorization, Applications, Research Challenges, and Future Outlook
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
120
23
0
11 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through
  Gradient Aggregation
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
AAML
94
25
0
11 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Blerta Lindqvist
AAML
75
0
0
10 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks
  and their understanding
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
AAML
66
6
0
07 Aug 2023
Unsupervised Adversarial Detection without Extra Model: Training Loss
  Should Change
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou
Hung-Ting Su
Winston H. Hsu
AAML
42
2
0
07 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack
CGBA: Curvature-aware Geometric Black-box Attack
Md. Farhamdur Reza
A. Rahmati
Tianfu Wu
H. Dai
AAML
83
20
0
06 Aug 2023
AdvFAS: A robust face anti-spoofing framework against adversarial
  examples
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Jiawei Chen
Xiaohu Yang
Heng Yin
Mingzhi Ma
Bihui Chen
Jianteng Peng
Yandong Guo
Z. Yin
Han Su
AAMLCVBM
57
6
0
04 Aug 2023
FROD: Robust Object Detection for Free
FROD: Robust Object Detection for Free
Muhammad Awais
Awais
Weiming Zhuang
Zhuang
Lingjuan
Lingjuan Lyu
Sung-Ho
Sung-Ho Bae
ObjD
89
1
0
03 Aug 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion)
URET: Universal Robustness Evaluation Toolkit (for Evasion)
Kevin Eykholt
Taesung Lee
D. Schales
Jiyong Jang
Ian Molloy
Masha Zorin
AAML
120
7
0
03 Aug 2023
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning
  Accelerator
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator
Xi-ai Yan
Xiaoxuan Lou
Guowen Xu
Han Qiu
Shangwei Guo
Chip Hong Chang
Tianwei Zhang
AAML
32
7
0
02 Aug 2023
Transferable Attack for Semantic Segmentation
Transferable Attack for Semantic Segmentation
Mengqi He
Jing Zhang
Zhaoyuan Yang
Mingyi He
Nick Barnes
Yuchao Dai
68
2
0
31 Jul 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated
  Driving Systems
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems
Amir Samadi
A. Shirian
K. Koufos
Kurt Debattista
M. Dianati
AAMLFAttLRM
88
8
0
28 Jul 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations
  toward Top-$k$ Multi-Label Learning
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-kkk Multi-Label Learning
Yuchen Sun
Qianqian Xu
Zitai Wang
Qingming Huang
AAML
109
1
0
27 Jul 2023
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in
  the Physical World
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World
Xingxing Wei
Yao Huang
Yitong Sun
Jie Yu
AAML
71
16
0
27 Jul 2023
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