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Found 5 papers, 1 papers with code
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks
It was recently shown in the gradient-level setting that regular adversarial examples leave the data manifold, while their on-manifold counterparts are in fact generalization errors.
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples
It was recently shown in the gradient-level setting that regular adversarial examples leave the data manifold, while their on-manifold counterparts are in fact generalization errors.
A Hybrid Approach to Secure Function Evaluation Using SGX
We describe SGX-enabled SFE protocols (modeling the enclave as an oracle), and formalize the strongest-possible notion of 2P-SFE for our setting.
Cryptography and Security
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
In this paper, we break these dependencies and make hidden command attacks more practical through model-agnostic (blackbox) attacks, which exploit knowledge of the signal processing algorithms commonly used by VPSes to generate the data fed into machine learning systems.
Explainable Black-Box Attacks Against Model-based Authentication
Establishing unique identities for both humans and end systems has been an active research problem in the security community, giving rise to innovative machine learning-based authentication techniques.
BIG-bench Machine Learning
Explainable Artificial Intelligence (XAI)
