Andreas Plesner

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authored 9 papers about 2 months ago

Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification

Paper • 2508.05489 • Published Aug 7 • 1

Light Differentiable Logic Gate Networks

Paper • 2510.03250 • Published Sep 26

From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks

Paper • 2509.25933 • Published Sep 30

The Impact of Scaling Training Data on Adversarial Robustness

Paper • 2509.25927 • Published Sep 30

The Unwinnable Arms Race of AI Image Detection

Paper • 2509.21135 • Published Sep 25

Recurrent Deep Differentiable Logic Gate Networks

Paper • 2508.06097 • Published Aug 8

Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks

Paper • 2506.07500 • Published Jun 9

Human Aligned Compression for Robust Models

Paper • 2504.12255 • Published Apr 16

Synthetic Data for Blood Vessel Network Extraction

Paper • 2504.11858 • Published Apr 16

authored 4 papers about 1 year ago

Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs

Paper • 2409.05558 • Published Sep 9, 2024

Sybil Detection using Graph Neural Networks

Paper • 2409.08631 • Published Sep 13, 2024 • 1

Accurate Computation of the Logarithm of Modified Bessel Functions on GPUs

Paper • 2409.08729 • Published Sep 13, 2024

Breaking reCAPTCHAv2

Paper • 2409.08831 • Published Sep 13, 2024 • 6