<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>D. Krueger | TSG Lab – Technical Safety &amp; Governance Lab</title><link>https://tsglab.github.io/author/d.-krueger/</link><atom:link href="https://tsglab.github.io/author/d.-krueger/index.xml" rel="self" type="application/rss+xml"/><description>D. Krueger</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://tsglab.github.io/media/logo.svg</url><title>D. Krueger</title><link>https://tsglab.github.io/author/d.-krueger/</link></image><item><title>Rethinking Safety in LLM Fine-Tuning: An Optimization Perspective</title><link>https://tsglab.github.io/publication/rethinking-safety-llm-finetuning/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/rethinking-safety-llm-finetuning/</guid><description/></item><item><title>PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning</title><link>https://tsglab.github.io/publication/poisonbench/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/poisonbench/</guid><description/></item><item><title>Towards Interpreting Visual Information Processing in Vision-Language Models</title><link>https://tsglab.github.io/publication/visual-information-processing-vlms/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/visual-information-processing-vlms/</guid><description/></item><item><title>Open Problems in Machine Unlearning for AI Safety</title><link>https://tsglab.github.io/publication/open-problems-machine-unlearning/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/open-problems-machine-unlearning/</guid><description/></item><item><title>Interpreting Learned Feedback Patterns in Large Language Models</title><link>https://tsglab.github.io/publication/interpreting-feedback-patterns-llms/</link><pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/interpreting-feedback-patterns-llms/</guid><description/></item><item><title>Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders</title><link>https://tsglab.github.io/publication/feature-aligned-sparse-autoencoders/</link><pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/feature-aligned-sparse-autoencoders/</guid><description/></item><item><title>Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders</title><link>https://tsglab.github.io/publication/feature-space-universality-sparse-autoencoders/</link><pubDate>Tue, 01 Oct 2024 00:00:00 +0000</pubDate><guid>https://tsglab.github.io/publication/feature-space-universality-sparse-autoencoders/</guid><description/></item></channel></rss>