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6aebba00fff5b6de7b488e496f80edd7-Paper-Conference.pdf

6adaf0cbeba11705d4ea67a62044f63d-Paper-Conference.pdf

6a57493d35fefea59d06396c7cb69228-Paper-Datasets_and_Benchmarks_Track.pdf

69d97a6493fbf016fff0a751f253ad18-Supplemental-Datasets_and_Benchmarks_Track.pdf

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security

Neural Information Processing Systems

Large Language Models (LLMs) are being deployed across various domains today. However, their capacity to solve Capture the Flag (CTF) challenges in cybersecurity has not been thoroughly evaluated.

684c59d614fe6ae74a3be8c3ef07e061-Paper-Conference.pdf

Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions

Neural Information Processing Systems

Both component functions are in expectation forms, i.e.,

Precipitation Downscaling with Spatiotemporal Video Diffusion

Neural Information Processing Systems

For dynamics, see Figure 1. Precipitation patterns are central to human and natural life. In a rapidly warming climate, reliable simulations of changing precipitation patterns can help adapt to climate change.

665654759cdf2114c0cbe2b8e501e00e-Paper-Conference.pdf

A Proof of Theorem 4.1

Neural Information Processing Systems

After this process, we utilize the official PyTorch implementation of Meng et al.