5 papers · 1 filter
Hierarchical Dataset Selection for High-Quality Data Sharing
Xiaona Zhou, Yingyan Zeng, Ran Jin +1
The success of modern machine learning hinges on access to high-quality training data. In many real-world scenarios, such as acquiring data from public repositories or sharing acro…
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
Muntasir Wahed, Xiaona Zhou, Kiet A. Nguyen +5
Recent advancements in Large Language Models (LLMs) have significantly enhanced their code generation capabilities. However, their robustness against adversarial misuse, particular…
PurpCode: Reasoning for Safer Code Generation
Jiawei Liu, Nirav Diwan, Zhe Wang +11
We introduce PurpCode, the first post-training recipe for training safe code reasoning models towards generating secure code and defending against malicious cyberactivities. PurpCo…
TransDreamerV3: Implanting Transformer In DreamerV3
Shruti Sadanand Dongare, Amun Kharel, Jonathan Samuel +1
This paper introduces TransDreamerV3, a reinforcement learning model that enhances the DreamerV3 architecture by integrating a transformer encoder. The model is designed to improve…
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
Xiaona Zhou, Constantin Brif, Ismini Lourentzou
Anomaly detection in multivariate time series is essential across domains such as healthcare, cybersecurity, and industrial monitoring, yet remains fundamentally challenging due to…