Jonas Guan

4 papers · 2022–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 👑 Triple Crown 🧭 Keyword Pioneer

Venues

NeurIPS (2) ICLR (1) ICML (1)

Top co-authors

Nicolas Papernot (4) Muhammad Ahmad Kaleem (2) Nikita Dhawan (2) Adam Dziedzic (2) Shon Eduard Verch (1) Ethan C. Jackson (1) Hongyu Chen (1) William A. Cunningham (1) Hengrui Jia (1) Claas Voelcker (1)

Research topics

Machine Learning (4) Artificial Intelligence (2) Application Areas (2) Core AI (2) Core Methods (2) Learning Types · Machine Learning (2) Deep Learning (1) Reinforcement Learning (1) Security & Privacy (1) Learning Types · Deep Learning (1) Methods (1) Privacy (1)

Keywords

model stealing (2) self-supervised learning (2) density estimation (1) distributed learning (1) machine unlearning (1) intellectual property (1) reward-based learning (1) adversarial attack (1) black-box model (1) local interpretable model-agnostic explanation (1) deep q-learning (1) model extraction (1) cosine distance (1) encoder model (1) dataset inference (1) ownership attribution (1) representation learning (1) model distance (1) temporal difference learning (1)

Papers

Temporal-Difference Learning Using Distributed Error Signals NeurIPS 2024 A Zest of LIME: Towards Architecture-Independent Model Distances ICLR 2022 Dataset Inference for Self-Supervised Models NeurIPS 2022 On the Difficulty of Defending Self-Supervised Learning against Model Extraction ICML 2022