基本信息
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Bio
My general area of research is network security and privacy, and I am in particular passionate about enhancing privacy on the Internet. To that end, I design and deploy privacy-enhancing technologies such as censorship circumvention systems, analyze network protocols and services (e.g., messaging apps and machine learning APIs) for privacy leakage, and perform theoretical analysis to derive bounds on privacy (e.g., using game theory and information theory).
Amir's research group evaluates the privacy of in-the-wild Internet services, such as messaging applications, IoT devices, and machine learning APIs, and designs and implements tools to enhance the privacy of Internet users, such as anti-censorship systems. To this end, Amir's research group combines the development of practical systems with rigorous theoretical analysis, and incorporates techniques from various disciplines such as computer networking, cryptography, and information theory. The specific problems his research group is currently exploring include Internet censorship resistance, network traffic analysis, covert communications, and machine learning security and privacy. Amir's research has found flaws in popular privacy-preserving tools, and has led to the advent of novel designs to overcome these problems.
Amir's research group evaluates the privacy of in-the-wild Internet services, such as messaging applications, IoT devices, and machine learning APIs, and designs and implements tools to enhance the privacy of Internet users, such as anti-censorship systems. To this end, Amir's research group combines the development of practical systems with rigorous theoretical analysis, and incorporates techniques from various disciplines such as computer networking, cryptography, and information theory. The specific problems his research group is currently exploring include Internet censorship resistance, network traffic analysis, covert communications, and machine learning security and privacy. Amir's research has found flaws in popular privacy-preserving tools, and has led to the advent of novel designs to overcome these problems.
Research Interests
Papers共 159 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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CoRR (2024)
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USENIX Security Symposium (2024)
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WWW 2024pp.565-568, (2024)
CoRR (2024)
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arxiv(2024)
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Annual Conference on Information Sciences and Systemspp.1-6, (2024)
arxiv(2024)
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arxiv(2024)
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CoRR (2024)
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