Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery. - Mike Laszkiewicz; Asja Fischer; Johannes Lederer (AISTATS, 2021)

Copula-Based Normalizing Flows. - Mike Laszkiewicz; Johannes Lederer; Asja Fischer (CoRR, 2021)

Marginal Tail-Adaptive Normalizing Flows. - Mike Laszkiewicz; Johannes Lederer; Asja Fischer (ICML, 2022)

Single-Model Attribution via Final-Layer Inversion. - Mike Laszkiewicz; Jonas Ricker; Johannes Lederer; Asja Fischer (CoRR, 2023)

Set-Membership Inference Attacks using Data Watermarking. - Mike Laszkiewicz; Denis Lukovnikov; Johannes Lederer; Asja Fischer (CoRR, 2023)

Benchmarking the Fairness of Image Upsampling Methods. - Mike Laszkiewicz; Imant Daunhawer; Julia E. Vogt; Asja Fischer; Johannes Lederer (FAccT, 2024)

Single-Model Attribution of Generative Models Through Final-Layer Inversion. - Mike Laszkiewicz; Jonas Ricker; Johannes Lederer; Asja Fischer (ICML, 2024)

Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting. - Matias Pizarro; Mike Laszkiewicz; Dorothea Kolossa; Asja Fischer (CoRR, 2024)

AnomalyDINO: Boosting Patch-based Few-Shot Anomaly Detection with DINOv2. - Simon Damm; Mike Laszkiewicz; Johannes Lederer; Asja Fischer (WACV, 2025)