David Wagner
USENIX Security Symposium · 2024
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from David Wagner's perspective
Ordered by how strongly the researchers David Wagner trusts endorse each paper. Same corpus, a different order for every researcher.
- Ignore Previous Prompt: Attack Techniques For Language Models
- LLaMA: Open and Efficient Foundation Language Models (arXiv.org)
- AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
- Formalizing and Benchmarking Prompt Injection Attacks and Defenses (USENIX Security Symposium)
- The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions (arXiv.org)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- StruQ: Defending Against Prompt Injection with Structured Queries (2024) — 336 citations