基本信息
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Bio
Research
My research interests lie in identifying and mitigating the potential risks stemming from the use of AI in high-stake decision systems to unleash the full potential of AI while safeguarding our fundamental values and keeping us safe and secure. In particular, I
identify failure modes for AI systems by attacking them in terms of privacy (Mnemonist, Trap weights), fairness (Fairwashing) and security/safety (ColorFool, Mystique, EdgeFool, FilterFool and FoolHD);
mitigate these emerging risks by designing secure and trustworthy (privacy-preserving, robust, fair and explainable) AI to be deployed by institutions (Losing Less, QUOTIENT, DPspeech, GAP, DarkneTZ and Private-Feature Extraction and PrivEdge);
build confidential and reliable auditing frameworks that can be used by the public to audit the trustworthiness of AI-driven services provided by institutions (Confidential-DPproof, Confidential-PROFITT, and Zest).
My research has been published at top-tier conferences including NeurIPS, ICLR, CVPR, CCS, USENIX Security and PETs.
My research interests lie in identifying and mitigating the potential risks stemming from the use of AI in high-stake decision systems to unleash the full potential of AI while safeguarding our fundamental values and keeping us safe and secure. In particular, I
identify failure modes for AI systems by attacking them in terms of privacy (Mnemonist, Trap weights), fairness (Fairwashing) and security/safety (ColorFool, Mystique, EdgeFool, FilterFool and FoolHD);
mitigate these emerging risks by designing secure and trustworthy (privacy-preserving, robust, fair and explainable) AI to be deployed by institutions (Losing Less, QUOTIENT, DPspeech, GAP, DarkneTZ and Private-Feature Extraction and PrivEdge);
build confidential and reliable auditing frameworks that can be used by the public to audit the trustworthiness of AI-driven services provided by institutions (Confidential-DPproof, Confidential-PROFITT, and Zest).
My research has been published at top-tier conferences including NeurIPS, ICLR, CVPR, CCS, USENIX Security and PETs.
Research Interests
Papers共 41 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere,Aurélien Bellet,Hamed Haddadi,Nicolas Papernot,Xiao Wang,Adrian Weller
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CoRR (2023)
PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUMpp.3223-3240, (2023)
Proceedings on Privacy Enhancing Technologiesno. 1 (2023): 98-114
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (2023): 1879-1888
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Author Statistics
#Papers: 40
#Citation: 1038
H-Index: 14
G-Index: 26
Sociability: 4
Diversity: 2
Activity: 36
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