ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.08565
  4. Cited By
Reliable Evaluation of Adversarial Transferability

Reliable Evaluation of Adversarial Transferability

14 June 2023
Wenqian Yu
Jindong Gu
Zhijiang Li
Philip H. S. Torr
    AAML
ArXivPDFHTML

Papers citing "Reliable Evaluation of Adversarial Transferability"

11 / 11 papers shown
Title
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability
  Vision-Language Attack
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
Xiaojun Jia
Sensen Gao
Qing-Wu Guo
Ke Ma
Yihao Huang
Simeng Qin
Yang Janet Liu
Ivor Tsang Fellow
Xiaochun Cao
AAML
40
3
0
04 Nov 2024
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts
  on Vision-Language Models
An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models
Haochen Luo
Jindong Gu
Fengyuan Liu
Philip H. S. Torr
VLM
VPVLM
AAML
47
20
0
14 Mar 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers
Distilling Adversarial Robustness Using Heterogeneous Teachers
Jieren Deng
A. Palmer
Rigel Mahmood
Ethan Rathbun
Jinbo Bi
Kaleel Mahmood
Derek Aguiar
AAML
38
0
0
23 Feb 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language
  Pre-training Models via Self-Augmentation
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He
Xiaojun Jia
Siyuan Liang
Tianrui Lou
Yang Liu
Xiaochun Cao
AAML
VLM
24
23
0
08 Dec 2023
TranSegPGD: Improving Transferability of Adversarial Examples on
  Semantic Segmentation
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation
Xiaojun Jia
Jindong Gu
Yihao Huang
Simeng Qin
Qing-Wu Guo
Yang Liu
Xiaochun Cao
30
2
0
03 Dec 2023
Improving Adversarial Transferability via Model Alignment
Improving Adversarial Transferability via Model Alignment
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Philip H. S. Torr
Jindong Gu
AAML
28
5
0
30 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip H. S. Torr
AAML
29
26
0
26 Oct 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box
  Attacks
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
Jindong Gu
Fangyun Wei
Philip H. S. Torr
Han Hu
AAML
20
1
0
12 Sep 2023
Converting Artificial Neural Networks to Spiking Neural Networks via
  Parameter Calibration
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration
Yuhang Li
Shi-Wee Deng
Xin Dong
Shi Gu
51
23
0
06 May 2022
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
78
192
0
31 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
1