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Building privacy-preserving federated learning to help fight financial crime
Technical noteNathalie Baracaldo, Hayim Shaul, Nir Drucker, Swanand Kadhe, and Heiko LudwigPrivate Certifier Intersection: Finding common certificate authorities without compromising privacy
Technical noteSikhar Patranabis, Dhinakaran Vinayagamurthy, Venkatraman Ramakrishna, Krishnasuri Narayanam, Sandip Chakraborty, and Bishakh Chandra GhoshSaška Mojsilović wants to channel AI for good. She may also make you rethink sour cabbage
NewsKim MartineauWhat is synthetic data?
ExplainerKim Martineau and Rogerio FerisImproving the efficiency of adversarial robustness defenses
Technical noteKevin EykholtGovernment and industry experts recommend moving to quantum-safe cryptography
NewsThe 2022 IBM Research annual letter
Deep DiveDarío GilHow do you measure innovation?
NewsDarío GilFederated Learning meets Homomorphic Encryption
Technical noteNathalie Baracaldo and Hayim ShaulThe ultimate tool for data privacy: Fully homomorphic encryption
Technical noteOmri Soceanu and Ronen LevyIBM’s Cryptography Bill of Materials to speed up quantum-safe assessment
NewsAlessandro Curioni and Michael OsborneExtending server integrity across space and time with Durable Attestation
Technical noteDaniele Buono, Marcio Augusto de Lima e Silva, Maurizio Drocco, Gheorghe Almasi, and James BottomleyImproving endpoint security on Linux with IBM ReaQta-SysFlow
Technical noteFrederico Araujo and Teryl TaylorStrengthening cloud security with confidential computing
Technical noteRick BoivieFive ways IBM is using synthetic data to improve AI models
ResearchKim MartineauBreaking Rainbow takes a weekend on a laptop
Technical noteWard Beullens
