Publications

2022

Latent Space Smoothing for Individually Fair Representations
Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev
ECCV 2022
The Fundamental Limits of Neural Networks for Interval Certified Robustness
Matthew Mirman, Maximilian Baader, Martin Vechev
TMLR 2022

2021

The Fundamental Limits of Interval Arithmetic for Neural Networks
Matthew Mirman, Maximilian Baader, Martin Vechev
arXiv 2021
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer, Maximilian Baader, Martin Vechev
ICML 2021
Certified Defenses: Why Tighter Relaxations May Hurt Training
Nikola Jovanović*, Mislav Balunović*, Maximilian Baader, Martin Vechev
arXiv 2021 * Equal contribution
Fast and Precise Certification of Transformers
Gregory Bonaert, Dimitar I. Dimitrov, Maximilian Baader, Martin Vechev
PLDI 2021
Efficient Certification of Spatial Robustness
Anian Ruoss, Maximilian Baader, Mislav Balunović, Martin Vechev
AAAI 2021

2020

Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer, Maximilian Baader, Martin Vechev
NeurIPS 2020
Silq: A High-Level Quantum Language with Safe Uncomputation and Intuitive Semantics
Benjamin Bichsel, Maximilian Baader, Timon Gehr, Martin Vechev
PLDI 2020
Universal Approximation with Certified Networks
Maximilian Baader, Matthew Mirman, Martin Vechev
ICLR 2020

2019

Certifying Geometric Robustness of Neural Networks
Mislav Balunović, Maximilian Baader, Gagandeep Singh, Timon Gehr, Martin Vechev
NeurIPS 2019

Education

  • ETH Zurich, 2018 -
    PhD Candidate in Computer Science
  • ETH Zurich , 2016 - 2018
    Masters in Physics
  • ETH Zurich, 2012 - 2016
    Bachelors in Physics

Teaching

  • Linear Algebra 2
    Spring 2018
  • Complex Analysis
    Autumn 2017
  • Linear Algebra 2
    Spring 2017
  • Complex Analysis
    Autumn 2016
  • Linear Algebra 2
    Spring 2016
  • Complex Analysis
    Autumn 2015