A 360 review of AI agent benchmarks
Research
Kim Martineau
Blog
17 results for Data and AI Security
DARPA and IBM are ensuring that anyone can protect their AI systems from hackers
NewsMike MurphyAn AI model trained on data that looks real but won’t leak personal information
ResearchKim Martineau- Topic
An open-source toolkit for debugging AI models of all data types
Technical noteKevin Eykholt and Taesung LeeSimplifying 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 JamjoomAI diffusion models can be tricked into generating manipulated images
NewsKim MartineauSaška 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 EykholtFive ways IBM is using synthetic data to improve AI models
ResearchKim MartineauA new way to generate synthetic data for pretraining computer vision models
NewsKim 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 read
