Shunchang Liu
Portrait

Hi! I'm Shunchang (顺昌), currently pursuing a joint Master's degree in Cybersecurity at EPFL and ETH Zurich. My research focuses on AI Safety & Privacy—while much of my current work is at the application layer, I am always driven by the long-term goal of building explainable and provable safe AI systems.

I'm honored to collaborate closely with Prof. Boi Faltings at EPFL and Prof. Andreas Krause at ETH Zurich.

I am actively looking for PhD or industry opportunities starting Fall 2026—please feel free to contact me!

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Education
  • École Polytechnique Fédérale de Lausanne
    M.S. in Cybersecurity
    Sep. 2024 – present
  • Eidgenössische Technische Hochschule Zürich
    M.S. in Cybersecurity
    Sep. 2024 – present
Internship
News
2025
Two reports I contributed to, Frontier AI Risk Management Framework [Read more] and Responsible Innovation in AI × Life Sciences [Read more], were launched at WAIC 2025!
Jul 28
One paper was accepted by ACM MM! [Read more]
Jul 04
Selected Publications
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.

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]

All publications