588 From Principle to Practice Vertical Data Minimization for Machine Learning Robin Staab
Security researchers examine technical aspects of 588 From Principle to Practice Vertical Data Minimization for Machine Learning Robin Staab.
Summary
No summary yet — watch the video above, or open it on YouTube.
Related talks
IEEE Symposium on Security and Privacy·17 min
Industry experts analyze emerging threats surrounding On the (In)security of Peer-to-Peer Decentralized Machine Learning.
IEEE Symposium on Security and Privacy·14 min
Industry experts analyze emerging threats surrounding Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning.
IEEE Symposium on Security and Privacy·15 min
Brian Knott · Ryan Tien · David Wu
Industry experts analyze emerging threats surrounding CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU.