4 citations · 4 across the 2 of their papers we have counts for
4 papers
When Models Know but Can't Linearly Say: Relational Encoding Limits Linear Vulnerability Classification in Code LLMs
Rui Melo, Andre Catarino, Claudia Mamede +2
Large language models can detect vulnerable code, yet the form of vulnerability encoding in their representations remains unclear. We analyze 8 code models spanning 6.7B-15B parame…
Refusal Is Not Robustness: Measuring Harmful Reachability in Autoregressive Language Models
Parv Kapoor, Teresa Fortes, Claudia Mamede +3
LLM safety evaluations via jailbreaking typically index on attack success rate (ASR): whether a generated response violates safeguards. However, ASR only evaluates sampled outputs…
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Rui Melo, Claudia Mamede, Andre Catarino +2
Software vulnerabilities such as buffer overflows and SQL injections are a major source of security breaches. Traditional methods for vulnerability detection remain essential but a…
Are Large Language Models Memorizing Bug Benchmarks?
Daniel Ramos, Claudia Mamede, Kush Jain +3
Large Language Models (LLMs) have become integral to various software engineering tasks, including code generation, bug detection, and repair. To evaluate model performance in thes…