- Kaiserslautern, Germany
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- @cs_peter_lorenz
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Benchmarking Generalized Out-of-Distribution Detection
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
A Native-PyTorch Library for LLM Fine-tuning
An Open Robustness Benchmark for Jailbreaking Language Models [arXiv 2024]
End-to-end implementation of ML-based Android malware detectors.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Visualization of Adversarial Examples
Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.
Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).
Official repository for CVPR2022 publication, ViM: Out-Of-Distribution with Virtual-logit Matching
Object Sensing and Cognition for Adversarial Robustness
A beautiful, simple, clean, and responsive Jekyll theme for academics
Malware detection using the Drebin dataset
Malware detection using the Drebin dataset
A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.
PhD Thesis LaTeX Template, according to the rules of Combined Faculty of Natural Sciences and Mathematics, Heidelberg University, Germany