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Why Adversarial Reprogramming Works, When It Fails, and How to Tell the
  Difference

Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference

26 August 2021
Yang Zheng
Xiaoyi Feng
Zhaoqiang Xia
Xiaoyue Jiang
Ambra Demontis
Maura Pintor
Battista Biggio
Fabio Roli
    AAML
ArXivPDFHTML

Papers citing "Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference"

12 / 12 papers shown
Title
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for
  VPaaS via Watermark
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark
Huali Ren
Anli Yan
Chong-zhi Gao
Hongyang Yan
Zhenxin Zhang
Jin Li
VLM
AAML
30
4
0
24 May 2024
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
10
8
0
13 Oct 2023
Chatbots to ChatGPT in a Cybersecurity Space: Evolution,
  Vulnerabilities, Attacks, Challenges, and Future Recommendations
Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations
Attia Qammar
Hongmei Wang
Jianguo Ding
Abdenacer Naouri
M. Daneshmand
Huansheng Ning
SILM
6
18
0
29 May 2023
Deep Graph Reprogramming
Deep Graph Reprogramming
Yongcheng Jing
Chongbin Yuan
Li Ju
Yiding Yang
Xinchao Wang
Dacheng Tao
75
35
0
28 Apr 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
Yimeng Zhang
Xin Chen
Jinghan Jia
Sijia Liu
Ke Ding
16
25
0
09 Mar 2023
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech
  Recognition
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition
Minsu Kim
Hyungil Kim
Y. Ro
VLM
13
18
0
16 Feb 2023
Understanding and Improving Visual Prompting: A Label-Mapping
  Perspective
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Aochuan Chen
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLM
VLM
18
73
0
21 Nov 2022
Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks
Meta Input: How to Leverage Off-the-Shelf Deep Neural Networks
Minsu Kim
Youngjoon Yu
Sungjune Park
Y. Ro
OOD
13
0
0
21 Oct 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
15
32
0
12 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
78
38
0
21 Sep 2022
Adversarial Reprogramming Revisited
Adversarial Reprogramming Revisited
Matthias Englert
R. Lazic
AAML
16
8
0
07 Jun 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin-Yu Chen
VLM
101
57
0
22 Feb 2022
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