Titlebook: Information Security and Cryptology; 15th International C Zhe Liu,Moti Yung Conference proceedings 2020 Springer Nature Switzerland AG 2020

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Suzzer: A Vulnerability-Guided Fuzzer Based on Deep Learning of causing crashes. However, a software program oftentimes has only a fairly small portion that contains vulnerabilities, leading coverage-based fuzzers to work poorly most of the time. To address this challenge, we propose ., a vulnerability-guided fuzzer, to concentrate on testing code blocks tha

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Privacy-Preserving and yet Robust Collaborative Filtering Recommender as a Serviceges. Aiming at pragmatic solutions, we first show how to construct privacy-preserving and yet robust . stage based on existing solutions. Then, we propose two cryptographic protocols to realize a privacy-preserving . stage, depending on whether or not an extra proxy is involved.

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CAVAEva: An Engineering Platform for Evaluating Commercial Anti-malware Applications on Smartphonesactive target for cyber-attackers. For example, mobile malware authors seek to compromise devices to collect sensitive information and data from the smartphones. To mitigate such a threat, a number of online scanning platforms exist to evaluate existing anti-malware applications. However, existing p

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