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Enhancing Generalization of Universal Adversarial Perturbation through
  Gradient Aggregation

Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

11 August 2023
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
    AAML
ArXivPDFHTML

Papers citing "Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation"

11 / 11 papers shown
Title
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang
Liwen Cao
Yanru Wu
Zijie Zhao
Guan Wang
Yang Li
49
0
0
09 Apr 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Y. Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
51
1
0
17 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
138
0
0
28 Feb 2025
Backdoor Attacks against Image-to-Image Networks
Backdoor Attacks against Image-to-Image Networks
Wenbo Jiang
Hongwei Li
Jiaming He
Rui Zhang
Guowen Xu
Tianwei Zhang
Rongxing Lu
AAML
35
3
0
15 Jul 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 Jun 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
60
3
0
20 Nov 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
284
5,835
0
08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
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