Paul Kassianik

16 papers A* 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report.
CoRR
Zhuoran Yang, Ed Li, Jianliang He, Aman Priyanshu, Baturay Saglam, Paul Kassianik, Sajana Weerawardhena, Anu Vellore, Blaine Nelson, Neusha Javidnia, Arthur Goldblatt, Fraser Burch, Avi Zohary, Assaf Eisenman, Mahdi Sabbaghi, Supriti Vijay, Rahim Dharssi, Dhruv Kedia, Kojin Oshiba, Yaron Singer, Amin Karbasi
2025 — conf
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks.
CAMLIS
Adam Swanda, Amy Chang, Alexander Chen, Fraser Burch, Paul Kassianik, Konstantin Berlin
2025 J jnl
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks.
CoRR
Adam Swanda, Amy Chang, Alexander Chen, Fraser Burch, Paul Kassianik, Konstantin Berlin
2025 A* conf
Adversarial Reasoning at Jailbreaking Time.
ICML
Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Amin Karbasi, Hamed Hassani
2025 J jnl
Adversarial Reasoning at Jailbreaking Time.
CoRR
Mahdi Sabbaghi, Paul Kassianik, George J. Pappas, Yaron Singer, Amin Karbasi, Hamed Hassani
2025 J jnl
Capability-Based Scaling Laws for LLM Red-Teaming.
CoRR
Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping
2025 — conf
Large Language Models Encode Semantics and Alignment in Linearly Separable Representations.
IJCNLP-AACL (long papers)
Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi
2025 J jnl
Large Language Models Encode Semantics in Low-Dimensional Linear Subspaces.
CoRR
Baturay Saglam, Paul Kassianik, Blaine Nelson, Sajana Weerawardhena, Yaron Singer, Amin Karbasi
2025 J jnl
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report.
CoRR
Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi
2025 J jnl
Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.
CoRR
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
2024 J jnl
Extracting Memorized Training Data via Decomposition.
CoRR
Ellen Su, Anu Vellore, Amy Chang, Raffaele Mura, Blaine Nelson, Paul Kassianik, Amin Karbasi
2024 A* conf
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.
NeurIPS
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2023 J jnl
Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res.
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
2023 J jnl
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.
CoRR
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum S. Anderson, Yaron Singer, Amin Karbasi
2022 J jnl
BigIssue: A Realistic Bug Localization Benchmark.
CoRR
Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong
2021 J jnl
Merlion: A Machine Learning Library for Time Series.
CoRR
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