Paul Kassianik

4 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

ICML (1) IJCNLP (1) JMLR (1) NeurIPS (1)

Top co-authors

Amin Karbasi (3) Yaron Singer (2) Blaine Nelson (2) Sukumar Maddineni (1) George J. Pappas (1) Aadyot Bhatnagar (1) Anay Mehrotra (1) K C Krithika (1) Chenghao Liu (1) Gerald Woo (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Learning Types · Machine Learning (2) Data Science & Analytics (1) Deep Learning (1) Application Areas (1) Core Methods (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory (1)

Keywords

representation learning (1) anomaly detection (1) robustness (1) prompt engineering (1) model safety (1) semantic representation (1) ai safety (1) distributed computing (1) safety alignment (1) adversarial reasoning (1) time series forecasting (1) hyperparameter tuning (1) adversarial attack (1) black-box attack (1) language model (1) model ensemble (1) jailbreaking attack (1) jailbreak attack (1) model ensembling (1) red teaming (1)

Papers

Adversarial Reasoning at Jailbreaking Time ICML 2025 Large Language Models Encode Semantics and Alignment in Linearly Separable Representations IJCNLP 2025 Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NeurIPS 2024 Merlion: End-to-End Machine Learning for Time Series JMLR 2023