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An AI model trained on data that looks real but won’t leak personal information
ResearchKim MartineauProtection against data-oriented attacks through selective data integrity
Technical noteHans Liljestrand, Hani Jamjoom, Matthew Hicks, N. Asokan, Danfeng (Daphne) Yao, and Salman AhmedSecuring telecoms networks for the post-quantum era
NewsRay Harishankar and Lory ThorpeAn open-source toolkit for debugging AI models of all data types
Technical noteKevin Eykholt and Taesung LeeIBM and NASA open source the largest geospatial AI foundation model on Hugging Face
NewsKim MartineauExpanding the quantum-safe cryptography toolbox
NewsWard Beullens and Luca De FeoSimplifying cloud security policies with AI
Technical noteJulian Stephen and Shriti PriyaProtect yourself from bad neighbors in the cloud
Technical noteMichael V. Le, Salman Ahmed, Dan Williams, and Hani JamjoomModernizing banking with central bank digital currencies
Technical noteElli Androulaki and Gabi ZodikAI Privacy Toolkit gets a boost on dataset assessment in latest release
Technical noteMaya Anderson and Abigail GoldsteenAI diffusion models can be tricked into generating manipulated images
NewsKim MartineauYour web browsing habits may be less private than you think
NewsKim MartineauEverything IBM Research showed off at Think 2023
NewsMike Murphy and Kim MartineauHow IBM Quantum is bringing organizations along their quantum-safe technology journey
NewsRay Harishankar, John Buselli, and Jai S. ArunBuilding 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 Ghosh
