Xin Jin (The Ohio State University), Shiqing Ma (University of Massachusetts Amherst), Zhiqiang Lin (The Ohio State University)

While neural networks (NNs) are traditionally associated with tasks such as image recognition and natural language processing, this paper presents a novel application of NNs for efficient cryptographic computations. Leveraging the Turing completeness and inherent adaptability of NN models, we propose a transformative approach that efficiently accelerates cryptographic computations on various platforms. More specifically, with a program translation framework that converts traditional cryptographic algorithms into NN models, our proof-of-concept implementations in TensorFlow demonstrate substantial performance improvements: encryption speeds for AES, Chacha20, and Salsa20 show increases of up to 4.09$times$, 5.44$times$, and 5.06$times$, respectively, compared to existing GPU-based cryptographic solutions written by human experts. These enhancements are achieved without compromising the security of the original cryptographic algorithms, ensuring that our neural network-based approach maintains robust security standards. This repurposing of NNs opens new pathways for the development of scalable, efficient, and secure cryptographic systems that can adapt to the evolving
demands of modern computing environments.

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CCTAG: Configurable and Combinable Tagged Architecture

Zhanpeng Liu (Peking University), Yi Rong (Tsinghua University), Chenyang Li (Peking University), Wende Tan (Tsinghua University), Yuan Li (Zhongguancun Laboratory), Xinhui Han (Peking University), Songtao Yang (Zhongguancun Laboratory), Chao Zhang (Tsinghua University)

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Passive Inference Attacks on Split Learning via Adversarial Regularization

Xiaochen Zhu (National University of Singapore & Massachusetts Institute of Technology), Xinjian Luo (National University of Singapore & Mohamed bin Zayed University of Artificial Intelligence), Yuncheng Wu (Renmin University of China), Yangfan Jiang (National University of Singapore), Xiaokui Xiao (National University of Singapore), Beng Chin Ooi (National University of Singapore)

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Detecting IMSI-Catchers by Characterizing Identity Exposing Messages in Cellular...

Tyler Tucker (University of Florida), Nathaniel Bennett (University of Florida), Martin Kotuliak (ETH Zurich), Simon Erni (ETH Zurich), Srdjan Capkun (ETH Zuerich), Kevin Butler (University of Florida), Patrick Traynor (University of Florida)

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IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems

Yuhao Wu (Washington University in St. Louis), Franziska Roesner (University of Washington), Tadayoshi Kohno (University of Washington), Ning Zhang (Washington University in St. Louis), Umar Iqbal (Washington University in St. Louis)

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