Andreas Plesner
Scholar

Andreas Plesner

Google Scholar ID: VyBLS4kAAAAJ
PhD Student, ETH Zurich
Machine learningMachine IntelligenceAdversarial MLGPU processingFast ML
Citations & Impact
All-time
Citations
63
 
H-index
4
 
i10-index
1
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published numerous papers across a wide range of conferences such as NeurIPS, ReliableML@NeurIPS, FoRLM@NeurIPS, and more.
Research Experience
  • Involved in multiple research projects, including but not limited to:
  • - Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
  • - The Impact of Scaling Training Data on Adversarial Robustness
  • - Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
  • - GraphARC: A Comprehensive Benchmark for Graph-Based Abstract Reasoning
  • - The Unwinnable Arms Race of AI Image Detection
  • - Recurrent Deep Differentiable Logic Gate Networks
  • - Universality Frontier for Asynchronous Cellular Automata
  • - ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting
  • - Human Aligned Compression for Robust Models
  • - Synthetic Data for Blood Vessel Network Extraction
  • - Flip Reasoning Challenge
  • - Lending in Financial Networks
  • - Detecting Railway Track Irregularities Using Conformal Prediction
  • - Breaking reCAPTCHAv2
Background
  • Member of the Distributed Computing Group; Computer Engineering and Networks Laboratory (TIK); Department of Electrical Engineering (D-ITET)