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Phillip Wallis

5 accepted papers

2026

CausalArmor: Efficient Indirect Prompt Injection Guardrails via Causal Attribution

ICML 2026poster

AI agents equipped with tool-calling capabilities are susceptible to *Indirect Prompt Injection* (IPI) attacks. In this attack scenario, malicious commands hidden within *untrusted* content trick the agent into performing unauthorized actions. Existing defenses can reduce attack success but often su…

Cited by 0SourceScholar
2025

Reinforcement Learning with Backtracking Feedback

NeurIPS 2025poster

Addressing the critical need for robust safety in Large Language Models (LLMs), particularly against adversarial attacks and in-distribution errors, we introduce Reinforcement Learning with Backtracking Feedback (RLBF). This framework advances upon prior methods, such as BSAFE, by primarily leveragi…

Cited by 0SourceScholar
2022

LoRA: Low-Rank Adaptation of Large Language Models

ICLR 2022poster

An important paradigm of natural language processing consists of large-scale pre-training on general domain data and adaptation to particular tasks or domains. As we pre-train larger models, full fine-tuning, which retrains all model parameters, becomes less feasible. Using GPT-3 175B as an example…

2020

Automatic Event Detection of REM Sleep Without Atonia From Polysomnography Signals Using Deep Neural Networks

ICASSP 2020accepted

Rapid eye movement (REM) sleep behavior disorder (RBD) is a sleep disorder that features loss of atonia, or REM sleep without atonia (RSWA). RBD and RSWA are early manifestations of degenerative neurological diseases such as Parkinson’s and Lewy Body Dementia. Accurate diagnosis of RBD is crucial fo…

Cited by 0SourceScholar