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Found 5 papers, 0 papers with code
Planting Undetectable Backdoors in Machine Learning Models
Second, we demonstrate how to insert undetectable backdoors in models trained using the Random Fourier Features (RFF) learning paradigm or in Random ReLU networks.
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
We posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data.
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
We present a transductive learning algorithm that takes as input training examples from a distribution $P$ and arbitrary (unlabeled) test examples, possibly chosen by an adversary.
Formalizing Data Deletion in the Context of the Right to be Forgotten
In particular, we provide a precise definition of what could be (or should be) expected from an entity that collects individuals' data when a request is made of it to delete some of this data.
Cryptography and Security
The impossibility of obfuscation with auxiliary input or a universal simulator
In particular, we show that indistinguishability obfuscation for all circuits implies: * The impossibility of average-case virtual black box obfuscation with auxiliary input for any circuit family with super-polynomial pseudo-entropy.
Cryptography and Security
