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Found 5 papers, 1 papers with code
Hidden You Malicious Goal Into Benigh Narratives: Jailbreak Large Language Models through Logic Chain Injection
This paper proposes a new type of jailbreak attacks which can deceive both the LLMs and human (i. e., security analyst).
Knowledge-Reuse Transfer Learning Methods in Molecular and Material Science
We focus on the application of transfer learning methods for the discovery of advanced molecules/materials, particularly, the construction of transfer learning frameworks for different systems, and how transfer learning can enhance the performance of models.
The Effectiveness of Large Language Models (ChatGPT and CodeBERT) for Security-Oriented Code Analysis
However, we observed that the strengths and limitations of adopting these LLMs to the code analysis have not been investigated.
Ranked #2 on
Code Generation
on MBPP
Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning
The Bidirectional Encoder Representations from Transformers (BERT) were proposed in the natural language process (NLP) and shows promising results.
Using Deep Learning to Solve Computer Security Challenges: A Survey
Although using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substantial amount of interests in the computer security community.
Cryptography and Security
