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If you’re interested in a semester project or thesis please fill in the form matching your status:

• With ETH Zurich account
• Incoming students without an ETH Zurich account (e.g., exchange)

Please include a copy of your CV, latest transcripts, and a short description of your interests.

Past projects

This is a complete list of previous Master and Bachelor theses at our lab:

2024

• Jakub Łucki. An Adversarial Perspective on Machine Unlearning for AI Safety. SoLaR Workshop @ NeurIPS 2024, Best Paper Award.
• Lorenzo Rossi. Membership Inference Attacks on Sequence Models. DLSP workshop @ IEEE S&P 2025, Best Paper Award.
• Robert Hönig. Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI. ICLR 2025 (Spotlight).
• Fredrik Nestaas. Adversarial Search Engine Optimization for Large Language Models. ICLR 2025.
• Thomas Baumann. Universal Jailbreak Backdoors in Large Language Model Alignment. SafeGenAI Workshop @ NeurIPS 2024.
• Oscar Obeso. Refusal in Language Models Is Mediated by a Single Direction. NeurIPS 2024.

2023

• Shanglun Feng. Privacy Backdoors: Stealing Data with Corrupted Pretrained Models. ICML 2024.
• Javi Rando. Universal Jailbreak Backdoors from Poisoned Human Feedback. ICLR 2024.
• Lukas Fluri. Evaluating Superhuman Models with Consistency Checks. SaTML 2024.

Other student projects that resulted in papers are listed on our publications page.