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cs.LG2026
Statistically Undetectable Backdoors in Deep Neural Networks
Andrej Bogdanov, Alon Rosen, Neekon Vafa
We show how an adversarial model trainer can plant backdoors in a large class of deep, feedforward neural networks. These backdoors are statistically undetectable in the white-box…
cs.LG2024★ 1 cited
Oblivious Defense in ML Models: Backdoor Removal without Detection
Shafi Goldwasser, Jonathan Shafer, Neekon Vafa +1
As society grows more reliant on machine learning, ensuring the security of machine learning systems against sophisticated attacks becomes a pressing concern. A recent result of Go…
cs.LG2024
Sparse Linear Regression and Lattice Problems
Aparna Gupte, Neekon Vafa, Vinod Vaikuntanathan
Sparse linear regression (SLR) is a well-studied problem in statistics where one is given a design matrix and a response vector for a -sp…