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Lin-Fa Lee

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CR2026

WebMCP-Phalanx: Enforcing and Characterizing Trust Boundaries for Browser-Integrated LLM Agents

Lin-Fa Lee, YI-YU Chang, Kuo-Hui Yeh

The emerging W3C WebMCP proposal enables LLM agents to invoke tools exposed by web pages. In multi-party web environments, however, integrating agent execution into a browser secur…

cs.AI2026

QuaSAR: Quantization Compensation via Stable Activation-Aware Rank Truncation

Lin-Fa Lee, Yi-Yu Chang, Kuo-Hei Yeh

Recent training-free post-training quantization methods restore model accuracy through closed-form residual compensation. To constrain additional model storage overhead, several ex…

cs.CR2026

On the Security Implications of PQC in TLS: Handshake Exhaustion and IDS Degradation

Lin-Fa Lee, Yi-Yu Chang, Chia-Mu Yu +1

Post-Quantum Cryptography (PQC) is increasingly being integrated into TLS 1.3 to enhance resilience against quantum-enabled attacks. However, the additional computational and commu…

cs.CR2026

WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM Agents

Lin-Fa Lee, Yi-Yu Chang, Chia-Mu Yu +1

WebMCP is a newly emerging protocol that enables websites to expose tools directly to AI agents, bypassing traditional user interfaces and introducing new security risks. The dynam…

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