Mike Laszkiewicz

13 papers A* 2A 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
AnomalyDINO: Boosting Patch-based Few-Shot Anomaly Detection with DINOv2.
WACV
Simon Damm, Mike Laszkiewicz, Johannes Lederer, Asja Fischer
2024 J jnl
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2.
CoRR
Simon Damm, Mike Laszkiewicz, Johannes Lederer, Asja Fischer
2024 — conf
Benchmarking the Fairness of Image Upsampling Methods.
FAccT
Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
2024 J jnl
Benchmarking the Fairness of Image Upsampling Methods.
CoRR
Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
2024 J jnl
Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting.
CoRR
Matias Pizarro, Mike Laszkiewicz, Dorothea Kolossa, Asja Fischer
2024 A* conf
Single-Model Attribution of Generative Models Through Final-Layer Inversion.
ICML
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer
2023 J jnl
Set-Membership Inference Attacks using Data Watermarking.
CoRR
Mike Laszkiewicz, Denis Lukovnikov, Johannes Lederer, Asja Fischer
2023 J jnl
Single-Model Attribution via Final-Layer Inversion.
CoRR
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer
2022 A* conf
Marginal Tail-Adaptive Normalizing Flows.
ICML
Mike Laszkiewicz, Johannes Lederer, Asja Fischer
2022 J jnl
Marginal Tail-Adaptive Normalizing Flows.
CoRR
Mike Laszkiewicz, Johannes Lederer, Asja Fischer
2021 J jnl
Copula-Based Normalizing Flows.
CoRR
Mike Laszkiewicz, Johannes Lederer, Asja Fischer
2021 A conf
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery.
AISTATS
Mike Laszkiewicz, Asja Fischer, Johannes Lederer
2020 J jnl
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery.
CoRR
Mike Laszkiewicz, Asja Fischer, Johannes Lederer