Suchergebnisse - "Proceedings of the ... ACM Conference on Computer and Communications Security"

Secure Outsourced Matrix Computation and Application to Neural Networks von Jiang, Xiaoqian, Kim, Miran, Lauter, Kristin, Song, Yongsoo

“… Homomorphic Encryption (HE) is a powerful cryptographic primitive to address privacy and security issues in outsourcing computation on sensitive data to an …”
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Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX von Wang, Wenhao, Chen, Guoxing, Pan, Xiaorui, Zhang, Yinqian, Wang, XiaoFeng, Bindschaedler, Vincent, Tang, Haixu, Gunter, Carl A

“… Side-channel risks of Intel's SGX have recently attracted great attention. Under the spotlight is the newly discovered page-fault attack, in which an OS-level …”
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PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps von Liu, Ruixuan, Wang, Tianhao, Cao, Yang, Xiong, Li

“… The pre-training and fine-tuning paradigm has demonstrated its effectiveness and has become the standard approach for tailoring language models to various …”
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Cross-silo Federated Learning with Record-level Personalized Differential Privacy von Liu, Junxu, Lou, Jian, Xiong, Li, Liu, Jinfei, Meng, Xiaofeng

“… Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting …”
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The Danger of Minimum Exposures: Understanding Cross-App Information Leaks on iOS through Multi-Side-Channel Learning von Wang, Zihao, Guan, Jiale, Wang, XiaoFeng, Wang, Wenhao, Xing, Luyi, Alharbi, Fares

“… Research on side-channel leaks has long been focusing on the information exposure from a single channel (memory, network traffic, power, etc.). Less studied is …”
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WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data von Saleheen, Nazir, Ullah, Md Azim, Chakraborty, Supriyo, Ones, Deniz S, Srivastava, Mani, Kumar, Santosh

“… Public release of wrist-worn motion sensor data is growing. They enable and accelerate research in developing new algorithms to passively track daily …”
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How to Accurately and Privately Identify Anomalies von Asif, Hafiz, Papakonstantinou, Periklis A, Vaidya, Jaideep

“… Identifying anomalies in data is central to the advancement of science, national security, and finance. However, privacy concerns restrict our ability to …”
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Towards a framework for evaluating certificate status information mechanisms von Iliadis, John, Gritzalis, Stefanos, Spinellis, Diomidis, De Cock, Danny, Preneel, Bart, Gritzalis, Dimitris

“… A wide spectrum of certificate revocation mechanisms is currently in use. A number of them have been proposed by standardisation bodies, while some others have …”
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