Marc Juarez
School of Informatics,
University of Edinburgh
Office: IF-4.05A
10 Crichton St
Edinburgh, UK
EH8 9AB
Email: <first>.<last>@ed.ac.uk
I am a Lecturer in Cyber Security and Privacy in the University of Edinburgh’s School of Informatics. Within the school, I am a member of the Security, Privacy, and Trust group (SecPrivTru). Full bio
News
| Jul 29, 2026 | I received a generous award from Amazon Research to study the trustworthiness of AI/ML tools used in hiring decisions. |
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| Jul 18, 2026 | New paper to appear in CCS’26 “Brewing Under Pressure: More Realistic Tor Flow Correlation Considering Low FPRs”. |
| Mar 23, 2026 | Kai will present our SaTML’26 paper, “Smudged Fingerprints: A Systematic Evaluation of the Robustness of AI Image Fingerprints,” next week. |
| Nov 10, 2025 | Lisa’s paper, “Rethinking the Role of Network Stacks for Website Fingerprinting Defenses,” was accepted at HotNets’25. |
| Sep 1, 2025 | New paper, “Shift Your Shape: Correlating and Defending Mixnet Flows Based on Their Shapes,” accepted at IEEE Transactions on Dependable and Secure Computing. |
| Jun 12, 2025 | Paper accepted at USENIX’25 on VAE-based attacks against Tree-Ring watermarking. Check it out! |
| Apr 1, 2025 | New paper, “Adversarial Evasion Against Autonomous Cyber Defence Agents,” to appear in the proceedings of Autonomous Cyber (ESORICS). This work is based on Melanie Meijer’s MSc dissertation. |
| Mar 1, 2025 | Co-organizing a workshop on watermarking for GenAI. |
| Feb 1, 2025 | We have received GAIL seed funding to work on undetectable watermarks for generative AI. |
| Jan 14, 2025 | Paper accepted to SaTML’25 on the (un)fairness of private ML. |
Research
My research topics and recent works:
- ML-Based Traffic Analysis: Development and evaluation of traffic analysis defenses for network security applications, particularly in the context of web traffic.
- Security and Privacy of ML Systems: Auditing privacy and security properties of ML models and developing techniques for secure and private deployment of ML systems.
- Privacy and Fairness in ML Systems: Addressing privacy challenges in detecting and mitigating bias in ML models.
See the complete list of publications.
Students
- Kai Yao
- Samaneh Mohammadi
- Lisa Lavrentieva (co-supervised with Michio Honda)
- Tobias Cheung (second supervisor)
- Molham Khoja (second supervisor)
- Bengü Gülay (second supervisor)
I am always interested in hiring talented PhD students whose research interests overlap with mine. Please attach a short research proposal when contacting me.
Open positions
- KTP Associate position now open.
- Research Assistant in a collaboration with Amazon Research. Ad coming up soon.