Scaling to meet future of India’s AI needs
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Mike Murphy
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13 results for Adversarial Robustness and Privacy
IBM further strengthens Granite for enterprise deployment with HackerOne
NewsMike MurphyAn invisible watermark to keep tabs on tabular data
ResearchKim Martineau- Topic
What is red teaming for generative AI?
ExplainerKim MartineauAn open-source toolkit for debugging AI models of all data types
Technical noteKevin Eykholt and Taesung LeeDid an AI write that? If so, which one? Introducing the new field of AI forensics
ExplainerKim MartineauManipulating stock prices with an adversarial tweet
ResearchKim MartineauSecuring AI systems with adversarial robustness
Deep DivePin-Yu Chen8 minute readResearchers develop defenses against deep learning hack attacks
ReleaseAmbrish Rawat, Killian Levacher, and Mathieu Sinn7 minute readAI goes anonymous during training to boost privacy protection
ReleaseAbigail Goldsteen4 minute readPreparing deep learning for the real world – on a wide scale
ResearchPin-Yu Chen3 minute readAdversarial Robustness Toolbox: One Year Later with v1.4
ReleaseAbigail Goldsteen and Beat Buesser4 minute readIBM Differential Privacy Library: The single line of code that can protect your data
ReleaseNaoise Holohan2 minute readThe Adversarial Robustness Toolbox v0.3.0: closing the backdoor in AI security
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