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1511.04599
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DeepFool: a simple and accurate method to fool deep neural networks
14 November 2015
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
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Papers citing
"DeepFool: a simple and accurate method to fool deep neural networks"
50 / 2,353 papers shown
Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations
Ahmed A. Abusnaina
Yizhen Wang
Sunpreet S. Arora
Ke Wang
Mihai Christodorescu
David A. Mohaisen
AAML
200
7
0
05 Oct 2023
Splitting the Difference on Adversarial Training
USENIX Security Symposium (USENIX Security), 2023
Matan Levi
A. Kontorovich
236
8
0
03 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
ACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
260
35
0
01 Oct 2023
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
Dennis Y. Menn
Tzu-hsun Feng
Sriram Vishwanath
Hung-yi Lee
AAML
171
0
0
28 Sep 2023
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
International Conference on Machine Learning (ICML), 2023
Vincent Mallet
Zhengqing Wu
M. Ovsjanikov
275
5
0
28 Sep 2023
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDL
AAML
287
35
0
28 Sep 2023
Structure Invariant Transformation for better Adversarial Transferability
IEEE International Conference on Computer Vision (ICCV), 2023
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
203
106
0
26 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning
Hongyan Zhou
Yao Liang
OOD
231
0
0
24 Sep 2023
Improving Machine Learning Robustness via Adversarial Training
International Conference on Computer Communications and Networks (ICCCN), 2023
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OOD
AAML
162
4
0
22 Sep 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
Krishna Kanth Nakka
Mathieu Salzmann
DRL
CoGe
215
2
0
20 Sep 2023
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition
Mohamad Fakih
R. Kanj
Fadi J. Kurdahi
M. Fouda
AAML
158
0
0
20 Sep 2023
PRAT: PRofiling Adversarial aTtacks
Rahul Ambati
Naveed Akhtar
Lin Wang
Yogesh S Rawat
AAML
195
1
0
20 Sep 2023
What Learned Representations and Influence Functions Can Tell Us About Adversarial Examples
International Joint Conference on Natural Language Processing (IJCNLP), 2023
Shakila Mahjabin Tonni
Mark Dras
TDI
AAML
GAN
418
0
0
19 Sep 2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
IEEE transactions on multimedia (IEEE TMM), 2023
Huihui Gong
Minjing Dong
Siqi Ma
S. Çamtepe
Surya Nepal
Chang Xu
AAML
190
6
0
18 Sep 2023
Robust Backdoor Attacks on Object Detection in Real World
Yaguan Qian
Boyuan Ji
Shuke He
Shenhui Huang
Xiang Ling
Bin Wang
Wen Wang
232
8
0
16 Sep 2023
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors
IEEE International Conference on Computer Vision (ICCV), 2023
Hongge Chen
Zhao Chen
Gregory P. Meyer
Dennis Park
Carl Vondrick
Ashish Shrivastava
Yuning Chai
3DPC
200
3
0
11 Sep 2023
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
264
3
0
10 Sep 2023
Exploring Robust Features for Improving Adversarial Robustness
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Hong Wang
Yuefan Deng
Shinjae Yoo
Lu Ma
AAML
334
5
0
09 Sep 2023
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection
Biswaraj Baral
Reek Majumdar
Bhavika Bhalgamiya
Taposh Dutta Roy
MedIm
AAML
226
2
0
08 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models
International Conference on Image Analysis and Processing (ICIAP), 2023
Hondamunige Prasanna Silva
Lorenzo Seidenari
Marco Bertini
DiffM
150
9
0
07 Sep 2023
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Applied Sciences (Appl. Sci.), 2023
Raz Lapid
Ron Langberg
Moshe Sipper
AAML
343
151
0
04 Sep 2023
Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models
Changyu Liu
Yuling Jiao
Junhui Wang
Jian Huang
AAML
197
2
0
02 Sep 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
IEEE International Conference on Computer Vision (ICCV), 2023
Satoshi Suzuki
Shin'ya Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
271
7
0
31 Aug 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
294
88
0
30 Aug 2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Conference on Computer and Communications Security (CCS), 2023
Arezoo Rajabi
Surudhi Asokraj
Feng-Shr Jiang
Luyao Niu
Bhaskar Ramasubramanian
J. Ritcey
Radha Poovendran
AAML
202
4
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
International Journal of Computer Vision (IJCV), 2023
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
271
8
0
29 Aug 2023
Input margins can predict generalization too
AAAI Conference on Artificial Intelligence (AAAI), 2023
Coenraad Mouton
Marthinus W. Theunissen
Marelie Hattingh Davel
AAML
UQCV
AI4CE
217
5
0
29 Aug 2023
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
Fahad Alrasheedi
Agnibh Dasgupta
AAML
221
2
0
29 Aug 2023
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
AAML
SILM
241
4
0
29 Aug 2023
Classification robustness to common optical aberrations
Patrick Müller
Alexander Braun
Margret Keuper
134
13
0
29 Aug 2023
On-Manifold Projected Gradient Descent
Aaron Mahler
Tyrus Berry
Thomas Stephens
Harbir Antil
Michael Merritt
Jeanie Schreiber
Ioannis G. Kevrekidis
AAML
215
0
0
23 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
ACM Multimedia (ACM MM), 2023
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
227
28
0
21 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
394
4
0
20 Aug 2023
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software
International Conference on Automated Software Engineering (ASE), 2023
Wenxuan Wang
Jingyuan Huang
Shu Yang
Chang Chen
Jiazhen Gu
Pinjia He
Michael R. Lyu
VLM
136
6
0
18 Aug 2023
Attacking logo-based phishing website detectors with adversarial perturbations
European Symposium on Research in Computer Security (ESORICS), 2023
Jehyun Lee
Zhe Xin
Melanie Ng Pei See
Kanav Sabharwal
Giovanni Apruzzese
D. Divakaran
AAML
232
10
0
18 Aug 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
European Conference on Artificial Intelligence (ECAI), 2023
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
218
0
0
17 Aug 2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora
Kartik Patwari
Syed Mahbub Hafiz
Zubair Shafiq
Chen-Nee Chuah
AAML
206
3
0
16 Aug 2023
A Review of Adversarial Attacks in Computer Vision
Yutong Zhang
Yao Li
Yin Li
Zhichang Guo
AAML
244
5
0
15 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
Computers & security (Comput. Secur.), 2023
João Vitorino
Isabel Praça
Eva Maia
AAML
222
30
0
13 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks
R. Garaev
Bader Rasheed
Adil Mehmood Khan
AAML
OOD
79
3
0
12 Aug 2023
Continual Face Forgery Detection via Historical Distribution Preserving
International Journal of Computer Vision (IJCV), 2023
Ke Sun
Shen Chen
Taiping Yao
Xiaoshuai Sun
Shouhong Ding
Rongrong Ji
CVBM
AAML
183
19
0
11 Aug 2023
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook
IEEE Access (IEEE Access), 2023
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammed Shafique
AAML
323
40
0
11 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
IEEE International Conference on Computer Vision (ICCV), 2023
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
AAML
292
37
0
11 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks
Blerta Lindqvist
AAML
157
0
0
10 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
AAML
169
11
0
07 Aug 2023
Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change
Chien Cheng Chyou
Hung-Ting Su
Winston H. Hsu
AAML
93
3
0
07 Aug 2023
CGBA: Curvature-aware Geometric Black-box Attack
IEEE International Conference on Computer Vision (ICCV), 2023
Md. Farhamdur Reza
A. Rahmati
Tianfu Wu
H. Dai
AAML
174
26
0
06 Aug 2023
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Computer Vision and Image Understanding (CVIU), 2023
Jiawei Chen
Xiaohu Yang
Heng Yin
Mingzhi Ma
Bihui Chen
Jianteng Peng
Yandong Guo
Z. Yin
Han Su
AAML
CVBM
192
12
0
04 Aug 2023
FROD: Robust Object Detection for Free
Muhammad Awais
Awais
Weiming Zhuang
Zhuang
Lingjuan
Lingjuan Lyu
Sung-Ho
Sung-Ho Bae
ObjD
184
2
0
03 Aug 2023
URET: Universal Robustness Evaluation Toolkit (for Evasion)
USENIX Security Symposium (USENIX Security), 2023
Kevin Eykholt
Taesung Lee
D. Schales
Jiyong Jang
Ian Molloy
Masha Zorin
AAML
268
8
0
03 Aug 2023
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