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    • 📌 2026 So Far — 11 Papers Accepted
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    • 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
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    • 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
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LLM Watermark Evasion via Bias Inversion

Jeongyeon Hwang
,
Sangdon Park
,
Jungseul Ok
ICML , 2026
Last updated on May 1, 2026
← Towards Functional Correctness of Code Models with Selective Generation May 1, 2026
Ruby: Unmasking Unsafe Rust in Stripped Binaries via Machine Learning Apr 27, 2026 →