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    • Online Conformal Prediction with Adversarial Feedback via Regret Minimization
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    • CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems
    • PAC Prediction Sets for Meta-Learning
    • Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine 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
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    • 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
    • Ensuring Functional Correctness of Large Code Models with Selective Generation
    • Retrieval-Augmented Generation with Estimation of Source Reliability
    • ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
    • Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
    • AI Kill Switch for malicious web-based LLM agent
    • ATLANTIS: AI-driven Threat Localization, Analysis, and Triage Intelligence System
    • Online Selective Generation with Adversarial Bandit Feedback
    • SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel
    • Selective Generation for Controllable Language Models
    • MedBN: Robust Test Time Adaptation against Malicious Test Samples
    • TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
    • 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
    • PAC Prediction Sets Under Covariate Shift
    • Towards PAC Multi-Object Detection and Tracking
    • Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering via Machine Learning
    • 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
    • Red Teaming on Agentic AI
    • Physical AI Safety
    • Foundataion of AI Alignment
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📚 Machine Learning (2025 Fall)

Sep 2, 2025·
Sangdon Park
Sangdon Park
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Last updated on Sep 2, 2025
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