• 📌 2026 So Far — 11 Papers Accepted
    • 🎉 Three NeurIPS'26 Papers
    • 🎉 Three EMNLP Findings'26 Papers
    • 🧑‍⚖️ Area Chair
    • 🏆 Best Paper Award
    • 🧑‍⚖️ Area Chair
    • 🎉 Two ICML'26 Papers + One ICML'26 Workshop
    • 🎉 One ICLR'26 Paper
    • 🧑‍⚖️ Area Chair
    • 🎉 One NeurIPS'25 Workshop Paper
    • 🧑‍⚖️ Area Chair
    • 🎉 Two EMNLP Papers
    • 🏆 DARPA AIxCC Winner ($4M)!
    • 🏆 Best Paper Finalist
    • 🎉 One ICCV'25 Paper
    • 🎉 One DSN'25 Paper
    • 🏆 Graduate Fellowship
    • 🧑‍⚖️ Area Chair
    • 🏆 Best Paper Award
    • 🎉 2024 Summary
    • 🧑‍⚖️ Area Chair
    • 🎉 One NeurIPS'24 Paper (Spotlight)
    • 🎤 Invite Talk
    • 🎤 Breakout Session
    • 🏆 DARPA AIxCC Semifinals ($2M)
    • 🧑‍⚖️ Area Chair
    • 🎉 One NAACL'24 Paper
    • 🎉 One CVPR'24 Paper
    • 🎉 One ICLR'24 Paper
    • 🎉 Assistant Professor
    • 🏆 Best Paper Award
    • Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution
    • Online Conformal Abstention Under Adversarial Bandit Feedback
    • MJ: Multi-turn LLM Jailbreaking via Decomposed Credit Assignment
    • Transductive Generalization for GNNs via Optimal Transport
    • SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning
    • The Interplay of Harness Design and Post-Training in LLM Agents
    • Can We Stop Malicious AI? KILLBENCH: A Benchmark for External AI Kill Switch Feasibility
    • The Illusion of Rust Safety: Detecting Modular Unsafe Functions with LLMs
    • Towards Functional Correctness of Code Models with Selective Generation
    • LLM Watermark Evasion via Bias Inversion
    • Ruby: Unmasking Unsafe Rust in Stripped Binaries via Machine Learning
    • Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization
    • ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
    • Retrieval-Augmented Generation with Estimation of Source Reliability
    • Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
    • ATLANTIS: AI-driven Threat Localization, Analysis, and Triage Intelligence System
    • SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel
    • Selective Generation for Controllable Language Models
    • TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
    • MedBN: Robust Test Time Adaptation against Malicious Test Samples
    • PAC Prediction Sets Under Label Shift
    • Angelic Patches for Improving Third-Party Object Detector Performance
    • ACon$^2$: Adaptive Conformal Consensus for Provable Blockchain Oracles
    • CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems
    • PAC Prediction Sets for Meta-Learning
    • Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
    • Towards PAC Multi-Object Detection and Tracking
    • PAC Prediction Sets Under Covariate Shift
    • PAC Confidence Predictions for Deep Neural Network Classifiers
    • iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
    • Calibrated prediction with covariate shift via unsupervised domain adaptation
    • PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
    • Resilient linear classification: an approach to deal with attacks on training data
    • Integrated intelligence for human-robot teams
    • Abnormal object detection by canonical scene-based contextual model
    • 📚 AI Security (2026 Spring)
    • 📚 Machine Learning (2025 Fall)
    • 📚 Trustworthy ML (2025 Spring)
    • 📚 Trustworthy ML (2024 Fall)
    • 📚 Discrete Mathematics (2024 Sring)
    • 📚 Trustworthy ML (2023 Fall)
    • Trustworthy Learning Theory
    • Agentic AI Alignment
    • Physical AI Safety
    • AI Red Teaming
  • Team

🎉 One NeurIPS'25 Workshop Paper

Sep 22, 2025·
Sangdon Park
Sangdon Park

Congrat to Jaewoo!

Check out our paper on Ensuring Functional Correctness of Large Code Models with Selective Generation.

Publication NeurIPS Workshop
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