Paul Kassianik

According to our database, Paul Kassianik authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces.

Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi

CoRR, July, 2025

Capability-Based Scaling Laws for LLM Red-Teaming.

Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping

CoRR, May, 2025

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.

Paul Kassianik, Baturay Saglam, Alexander Chen, Blaine Nelson, Anu Vellore, Massimo Aufiero, Fraser Burch, Dhruv Kedia, Avi Zohary, Sajana Weerawardhena, Aman Priyanshu, Adam Swanda, Amy Chang, Hyrum S. Anderson, Kojin Oshiba, Omar Santos, Yaron Singer, Amin Karbasi

CoRR, April, 2025

Adversarial Reasoning at Jailbreaking Time.

Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Yaron Singer, Amin Karbasi, Hamed Hassani

CoRR, February, 2025

2024

Extracting Memorized Training Data via Decomposition.

Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi

CoRR, 2024

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi

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.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

J. Mach. Learn. Res., 2023

2022

BigIssue: A Realistic Bug Localization Benchmark.

Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong

CoRR, 2022

2021

Merlion: A Machine Learning Library for Time Series.

Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang

CoRR, 2021