Paul Kassianik

According to our database1, Paul Kassianik authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report.
CoRR, January, 2026

2025
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report.
CoRR, August, 2025

Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces.
CoRR, July, 2025

Capability-Based Scaling Laws for LLM Red-Teaming.
CoRR, May, 2025

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.
CoRR, April, 2025

Adversarial Reasoning at Jailbreaking Time.
CoRR, February, 2025

Large Language Models Encode Semantics and Alignment in Linearly Separable Representations.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Adversarial Reasoning at Jailbreaking Time.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks.
Proceedings of the 2025 Conference on Applied Machine Learning for Information Security (CAMLIS), 2025

2024
Extracting Memorized Training Data via Decomposition.
CoRR, 2024

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

2022
BigIssue: A Realistic Bug Localization Benchmark.
CoRR, 2022

2021
Merlion: A Machine Learning Library for Time Series.
CoRR, 2021


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