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1511.04599
Cited By
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 / 910 papers shown
Title
Multiple Perturbation Attack: Attack Pixelwise Under Different
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-norms For Better Adversarial Performance
Ngoc N. Tran
Anh Tuan Bui
Dinh Q. Phung
Trung Le
AAML
36
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
25
31
0
05 Dec 2022
The Vanishing Decision Boundary Complexity and the Strong First Component
Hengshuai Yao
UQCV
41
0
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
33
4
0
24 Nov 2022
OCTET: Object-aware Counterfactual Explanations
Mehdi Zemni
Mickaël Chen
Éloi Zablocki
H. Ben-younes
Patrick Pérez
Matthieu Cord
AAML
29
29
0
22 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary
T. Windeatt
AAML
31
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
34
0
0
16 Nov 2022
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection
N. Doan
Arda Yüksel
Chih-Hong Cheng
AAML
23
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
43
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
24
9
0
10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data
Jaechul Roh
Yajun Fang
FedML
CVBM
AAML
29
0
0
10 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
31
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
37
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
26
1
0
07 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
21
2
0
04 Nov 2022
Scoring Black-Box Models for Adversarial Robustness
Jian Vora
Pranay Reddy Samala
33
0
0
31 Oct 2022
Benchmarking Adversarial Patch Against Aerial Detection
Jiawei Lian
Shaohui Mei
Shun Zhang
Mingyang Ma
AAML
37
57
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
24
40
0
27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Peng-Fei Hou
Jie Han
Xingyu Li
AAML
OOD
23
11
0
26 Oct 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang
Miaomiao Zhang
58
10
0
25 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future
Guo-Jun Qi
M. Shah
SSL
23
8
0
23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
59
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
55
29
0
21 Oct 2022
Robust Models are less Over-Confident
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
38
24
0
12 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Ziquan Liu
Antoni B. Chan
AAML
33
5
0
11 Oct 2022
Universal Adversarial Perturbations: Efficiency on a small image dataset
Waris Radji
AAML
11
0
0
10 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
33
58
0
09 Oct 2022
Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim
Charles Guille-Escuret
Ioannis Mitliagkas
Irina Rish
David M. Krueger
P. Bashivan
OOD
33
6
0
06 Oct 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Ching-Yun Ko
Pin-Yu Chen
Jeet Mohapatra
Payel Das
Lucani E. Daniel
35
3
0
06 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
29
42
0
05 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang
Tim Mitchell
Ju Sun
OOD
20
7
0
03 Oct 2022
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang
Dingquan Li
Xiongkuo Min
Guangtao Zhai
Guodong Guo
Xiaokang Yang
Kede Ma
OOD
49
34
0
03 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
24
5
0
30 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
Ulugbek S. Kamilov
Amit K. Roy-Chowdhury
AAML
56
17
0
20 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Ling Tian
AAML
38
3
0
19 Sep 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
R. Olivier
H. Abdullah
Bhiksha Raj
AAML
26
1
0
17 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization
Ehsan Nowroozi
Mohammadreza Mohammadi
Pargol Golmohammadi
Yassine Mekdad
Mauro Conti
Selcuk Uluagac
AAML
SILM
43
13
0
11 Sep 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition
Thanh-Dat Truong
C. Duong
Ngan Le
Marios Savvides
Khoa Luu
CVBM
77
9
0
11 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense
Bo Peng
Bo Peng
Jie Zhou
Jianyue Xie
Li Liu
AAML
47
43
0
11 Sep 2022
A Black-Box Attack on Optical Character Recognition Systems
Samet Bayram
Kenneth Barner
AAML
20
5
0
30 Aug 2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
26
16
0
27 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps
Mohammadreza Amirian
Friedhelm Schwenker
Thilo Stadelmann
AAML
27
16
0
24 Aug 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection
Simin Li
Huangxinxin Xu
Jiakai Wang
Aishan Liu
Fazhi He
Xianglong Liu
Dacheng Tao
AAML
28
5
0
23 Aug 2022
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models
Yulong Wang
Minghui Zhao
Shenghong Li
Xinnan Yuan
W. Ni
18
15
0
19 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Dong Huang
Qi Bu
Yuhao Qing
Haowen Pi
Sen Wang
Heming Cui
OOD
AAML
42
0
0
17 Aug 2022
Design of secure and robust cognitive system for malware detection
Sanket Shukla
AAML
27
2
0
03 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
28
2
0
31 Jul 2022
Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility
Rohit Gupta
Naveed Akhtar
Ajmal Mian
M. Shah
AAML
SSL
33
5
0
22 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Michael Weiss
A. Gómez
Paolo Tonella
AAML
18
6
0
21 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
13
2
0
19 Jul 2022
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