Skip to content

fix arxiv.org links #1

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
skarn958 wants to merge 1 commit into
base: main
Choose a base branch
from
Open

fix arxiv.org links #1

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
26 changes: 13 additions & 13 deletions List_of_papers_about_transfer_based_attacks.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Zhengwei Fang, Rui Wang, Tao Huang, Liping Jing


+ [Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling](https://arxiv.org//abs/2405.16181) (arXiv preprint arXiv:2405.16181, 2024)
+ [Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling](https://arxiv.org/abs/2405.16181) (arXiv preprint arXiv:2405.16181, 2024)

Chunlin Qiu, Yiheng Duan, Lingchen Zhao, Qian Wang

Expand Down Expand Up @@ -178,7 +178,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Shangbo Wu, Yu-an Tan, Yajie Wang, Ruinan Ma, Wencong Ma, Yuanzhang Li


+ [The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations](https://arxiv.org//abs/2312.11309) (arXiv preprint arXiv:2312.11309, 2023)
+ [The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations](https://arxiv.org/abs/2312.11309) (arXiv preprint arXiv:2312.11309, 2023)

Zebin Yun, Achi-Or Weingarten, Eyal Ronen, Mahmood Sharif

Expand All @@ -188,7 +188,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Jiayang Liu, Siyu Zhu, Siyuan Liang, Jie Zhang, Han Fang, Weiming Zhang, Ee-Chien Chang


+ [ Boost Adversarial Transferability by Uniform Scale and Mix Mask Method](https://arxiv.org//abs/2311.12051) (arXiv preprint arXiv:2311.12051, 2023)
+ [ Boost Adversarial Transferability by Uniform Scale and Mix Mask Method](https://arxiv.org/abs/2311.12051) (arXiv preprint arXiv:2311.12051, 2023)

Tao Wang, Zijian Ying, Qianmu Li, zhichao Lian

Expand All @@ -198,12 +198,12 @@ We also provide a complete list of papers about adversarial examples [here](htt
Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang


+ [ Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size](https://arxiv.org//abs/2401.13205) (arXiv preprint arXiv:2401.13205, 2024)
+ [ Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size](https://arxiv.org/abs/2401.13205) (arXiv preprint arXiv:2401.13205, 2024)

Junlin Liu, Xinchen Lyu


+ [ Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping](https://arxiv.org//abs/2402.03951) (AAAI 2024)
+ [ Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping](https://arxiv.org/abs/2402.03951) (AAAI 2024)

Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song

Expand Down Expand Up @@ -270,7 +270,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen


+ [DANAA: Towards transferable attacks with double adversarial neuron attribution](https://arxiv.org//abs/2310.10427) (ADMA 2023)
+ [DANAA: Towards transferable attacks with double adversarial neuron attribution](https://arxiv.org/abs/2310.10427) (ADMA 2023)

Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen

Expand Down Expand Up @@ -367,7 +367,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang


+ [Improving Adversarial Transferability via Model Alignment](https://arxiv.org//abs/2311.18495) (arXiv preprint arXiv:2311.18495, 2023)
+ [Improving Adversarial Transferability via Model Alignment](https://arxiv.org/abs/2311.18495) (arXiv preprint arXiv:2311.18495, 2023)

Avery Ma, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu

Expand All @@ -382,7 +382,7 @@ We also provide a complete list of papers about adversarial examples [here](htt
Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu


+ [ Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability](https://arxiv.org//abs/2405.03193) (arXiv preprint arXiv:2405.03193, 2024)
+ [ Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability](https://arxiv.org/abs/2405.03193) (arXiv preprint arXiv:2405.03193, 2024)

Juanjuan Weng, Zhiming Luo, Shaozi Li

Expand Down Expand Up @@ -578,22 +578,22 @@ We also provide a complete list of papers about adversarial examples [here](htt

## Survey & Benchmark

+ [Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly](https://arxiv.org//abs/2311.01323) (NeurIPS 2023)
+ [Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly](https://arxiv.org/abs/2311.01323) (NeurIPS 2023)

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen


+ [A Survey on Transferability of Adversarial Examples across Deep Neural Networks](https://arxiv.org//abs/2310.17626) (arXiv preprint arXiv: 2310.17626 2023)
+ [A Survey on Transferability of Adversarial Examples across Deep Neural Networks](https://arxiv.org/abs/2310.17626) (arXiv preprint arXiv: 2310.17626 2023)

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqain Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr


+ [Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights](https://arxiv.org//abs/2310.11850) (arXiv preprint arXiv: 2310.11850 2023)
+ [Revisiting Transferable Adversarial Image Examples: Attack Categorization, Evaluation Guidelines, and New Insights](https://arxiv.org/abs/2310.11850) (arXiv preprint arXiv: 2310.11850 2023)

Zhengyu Zhao, Hanwei Zhang, Renjue Li, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Chao Shen


+ [ Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems ](https://arxiv.org//abs/2311.11796) (arXiv preprint arXiv: 2311.11796 2023)
+ [ Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems ](https://arxiv.org/abs/2311.11796) (arXiv preprint arXiv: 2311.11796 2023)

Guangjing Wang, Ce Zhou, Yuanda Wang, Bocheng Chen, Hanqing Guo, Qiben Yan

Expand All @@ -605,4 +605,4 @@ We also provide a complete list of papers about adversarial examples [here](htt

+ [Short: Benchmarking Transferable Adversarial Attacks](https://arxiv.org/abs/2402.00418) (NDSS Workshop, 2024)

Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen
Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen
Loading