IIIS AI Safety Lunch logo

IIIS AI Safety Lunch

A monthly lunch on AI safety at the FIT Building, Tsinghua University, Beijing.

If you are based in Beijing, work on AI safety, and would like to join, please email Tianxing He with a brief introduction and a CV. You are welcome to write in Chinese.

2026

CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

Baicheng Chen

When Generative Models Become Game Engines: A Brief Introduction to Genie

Jian Zhao

Interactive Game Video Generation: An Introduction to Hunyuan-GameCraft

Yi Xu

Reverse-Engineering Model Editing on Language Models

Minrui Luo

Explainability and Trace Detection in LLM Unlearning

Yixuan Wu

On Safety Issues of Large Language Model Multi-Agent Systems

Ziheng Zhou

Can Large Language Models Reinvent Foundational Algorithms?

Jian Zhao

2025

Digital Protection in the Era of Generative Models

Di He

Unveiling the Basin-Like Loss Landscape in Large Language Models

Huanran Chen

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs

Shaowen Wang

Pay for the Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers

Yuhan Cao

Interpretability Analysis of LLMs with a Mixture-of-Experts Architecture

Liuxian Ma

Analyzing Catastrophic Risks and Cognitive Abilities in LM Agents

Xiaojian Li

Several Simple Attacks and Findings from Black-Box Interactions with GPT-OSS

Chengda Lu

AICrypto: A Comprehensive Benchmark for Evaluating Cryptography Capabilities of Large Language Models

Yu Wang

2024

Diffusion Models and Machine Unlearning

Jingwei Li

Unlearning in LLMs: Benchmarks and Methods

Yu Wang