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are invited for a postdoctoral fellowship at ENS Lyon in the field of machine learning. The position is part of the research project "Neural networks for homomorphic encryption", funded by Inria. Fully
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the areas of Machine Learning (ML) and Artificial Intelligence (AI). Focus will be placed on applications of these technologies in cybersecurity and anomaly detection in encrypted network data. The successful
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the operation of a device in order to add a third-party object in the network or to make it inoperative. These attacks can also disrupt the generation of data encryption keys by attacking the chip's
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APISID Use Used for targeting purposes to profile the interests of website visitors in order to display relevant and personalized Google advertising. Lifetime 6 months Name HSID Use Includes encrypted
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Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Positions Multiple positions are open at the level of post-doctoral researcher with two-year term. Positions will remain open until filled
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packages for the successful candidate. Topics of Interests Post-Quantum Cryptography Multi-Party Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at
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, the Trustworthy Computing Group specializes in the broader areas of cybersecurity, applied cryptography, computer architecture, hardware security, and encrypted computation. The post-doctoral researcher will take
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encrypted entries of your Google account and last login time to protect against attacks and data theft from form entries. Lifetime 2 years Name SID Use Used for security purposes to store digitally signed and
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space