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Geng Liu

2 accepted papers

2026

Lookahead-GCG: Improving Multi-Model Gradient-Based Jailbreaking Attacks via Nesterov Momentum

ICML 2026poster

Transferable jailbreaking attacks enable red-teaming of black-box large language models by optimizing adversarial prompts on open-source surrogates. A natural approach to improve transferability is multi-model training---optimizing against multiple source models simultaneously. Yet this approach has…

Cited by 0Source ↗Scholar ↗
2024

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

AAAI 2024technical

Quantum neural networks (QNNs) have become a leading paradigm for establishing near-term quantum applications in recent years. The trainability issue of QNNs has garnered extensive attention, spurring demand for a comprehensive analysis of QNNs in order to identify viable solutions. In this work, we…

Cited by 4Source ↗PDF ↗Scholar ↗