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2005.08087
Cited By
Universal Adversarial Perturbations: A Survey
16 May 2020
Ashutosh Chaubey
Nikhil Agrawal
Kavya Barnwal
K. K. Guliani
Pramod Mehta
OOD
AAML
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Papers citing
"Universal Adversarial Perturbations: A Survey"
17 / 17 papers shown
Non-Parametric Probabilistic Robustness: A Conservative Metric with Optimized Perturbation Distributions
Zheng Wang
Yi Zhang
Siddartha Khastgir
Carsten Maple
Xingyu Zhao
AAML
203
0
0
21 Nov 2025
Elytra: A Flexible Framework for Securing Large Vision Systems
Richard E. Neddo
Sean Willis
Zander W. Blasingame
Chen Liu
AAML
245
0
0
31 May 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2024
Namhyuk Ahn
Kiyoon Yoo
Wonhyuk Ahn
Daesik Kim
Seung-Hun Nam
AAML
WIGM
DiffM
572
4
0
16 Dec 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
384
13
0
29 Mar 2024
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
365
6
0
25 Oct 2023
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
295
9
0
09 Nov 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Patterns (Patterns), 2022
Christopher Wiedeman
Ge Wang
OOD
397
3
0
19 Jul 2022
Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples
International Symposium on Digital Forensics and Security (ISDFS), 2022
Lina Lin
Hanzhou Wu
AAML
303
8
0
09 May 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
International Conference on Machine Learning (ICML), 2022
Daniel Lundstrom
Tianjian Huang
Meisam Razaviyayn
FAtt
420
84
0
24 Feb 2022
Improving Robustness by Enhancing Weak Subnets
European Conference on Computer Vision (ECCV), 2022
Yong Guo
David Stutz
Bernt Schiele
AAML
384
17
0
30 Jan 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
IEEE International Symposium on Quality Electronic Design (ISQED), 2021
B. Ghavami
Seyd Movi
Zhenman Fang
Lesley Shannon
AAML
228
9
0
25 Dec 2021
Stereoscopic Universal Perturbations across Different Architectures and Datasets
Z. Berger
Parth T. Agrawal
Tianlin Liu
Stefano Soatto
A. Wong
AAML
366
24
0
12 Dec 2021
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks
B. Ghavami
Mani Sadati
M. Shahidzadeh
Zhenman Fang
Lesley Shannon
AAML
300
3
0
07 Dec 2021
Disrupting Adversarial Transferability in Deep Neural Networks
Christopher Wiedeman
Ge Wang
AAML
340
9
0
27 Aug 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
Computer Vision and Pattern Recognition (CVPR), 2021
Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
AAML
264
20
0
07 Apr 2021
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
Devin Willmott
Anit Kumar Sahu
Fatemeh Sheikholeslami
Filipe Condessa
Zico Kolter
MLAU
AAML
283
3
0
29 Jan 2021
Simple iterative method for generating targeted universal adversarial perturbations
Hokuto Hirano
Kazuhiro Takemoto
AAML
272
37
0
15 Nov 2019
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