Publications

2025

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models

Shunchang Liu*, Zhuan Shi*, Lingjuan Lyu, Yaochu Jin, Boi Faltings (* equal contribution)

ACM International Conference on Multimedia (MM) 2025

[Paper] [Code]

Thanks for Anderson's insightful commentary and sharing (1, 2) by the Korea Copyright Commission.

CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models

Shunchang Liu*, Zhuan Shi*, Lingjuan Lyu, Yaochu Jin, Boi Faltings (* equal contribution)

ACM International Conference on Multimedia (MM) 2025

[Paper] [Code]

Thanks for Anderson's insightful commentary and sharing (1, 2) by the Korea Copyright Commission.

2023

Benchmarking the Robustness of Quantized Models
Benchmarking the Robustness of Quantized Models

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) @AdvCV Workshop 2023

[Paper]

Benchmarking the Robustness of Quantized Models

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) @AdvCV Workshop 2023

[Paper]

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu# (# corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) @AdvCV Workshop 2023

[Paper]

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu# (# corresponding author)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) @AdvCV Workshop 2023

[Paper]

2022

Harnessing Perceptual Adversarial Patches for Crowd Counting
Harnessing Perceptual Adversarial Patches for Crowd Counting

Shunchang Liu*, Jiakai Wang*, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao (* equal contribution)

ACM SIGSAC Conference on Computer and Communications Security (CCS) 2022

[Code] [Paper] [Oral Pre]

Harnessing Perceptual Adversarial Patches for Crowd Counting

Shunchang Liu*, Jiakai Wang*, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao (* equal contribution)

ACM SIGSAC Conference on Computer and Communications Security (CCS) 2022

[Code] [Paper] [Oral Pre]

Revisiting Audio Visual Scene-Aware Dialog
Revisiting Audio Visual Scene-Aware Dialog

Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu

Neurocomputing 2022

[Paper]

Revisiting Audio Visual Scene-Aware Dialog

Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu

Neurocomputing 2022

[Paper]

2021

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral

[Paper] [Code]

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral

[Paper] [Code]

Academic Service

Program Committee / Reviewer
  • Frontiers of Computer Science
  • IEEE Transactions on Intelligent Transportation Systems (T-ITS)
  • Workshops: ICML MoFA, CVPR AdvCV
Teaching Assistant
  • EPFL – Machine Learning (Fall 2025)

Lab & Collaborators

Labs I’ve Worked At
Collaborators & Friends
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