Scholar
Buse Gül Atli
Google Scholar ID: ly-bZz0AAAAJ
Linköping University
Citations & Impact
Citations
610
H-index
9
i10-index
9
Publications
17
Co-authors
7
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers, such as 'FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks' (ACSAC'23), 'Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses' (ESORICS'22), 'WAFFLE: Watermarking in Federated Learning' (SRDS'21), and more.
Research Experience
- Worked as a security researcher at Nokia Bell Labs (Finland); currently conducting research on trustworthy machine learning at Linköping University.
Education
- PhD in Computer Science from Aalto University, supervised by Prof. N. Asokan.
Background
- Assistant Professor at Linköping University (Sweden) and WASP AI/MLX Fellow. Her research focuses on trustworthy machine learning (ML), ensuring that ML-based services are robust, fair, transparent in their decisions, and accountable while ensuring the security of its building blocks and the privacy of the ML model, data, and users.
Miscellany
- Contact: busega[at]acm[dot]org; Currently looking for highly motivated PhD students and postdoctoral researchers.
