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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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2 results for “HopSkipJump”

PopSkipJump: Decision-Based Attack for Probabilistic Classifierscs.LG

A new attack for probabilistic classifiers adapts to noise levels.

problem Adversarial examples can mislead probabilistic classifiers.

method Adapts HopSkipJump attack for probabilistic classifiers, adjusting queries based on noise levels.

result Decision-based attacks are effective against probabilistic classifiers, even with noise.

adversarial attacks probabilistic classifiers HopSkipJump decision-based robustness

2021-06-14abs ↗pdf ↗

Towards adversarial robustness with 01 loss neural networkscs.LG

01 loss neural network improves adversarial robustness on CIFAR10.

problem Improving machine learning models' resistance to adversarial attacks.

method Proposes a single hidden layer 01 loss neural network trained with stochastic coordinate descent.

result 01 loss network has the largest adversarial distortion compared to other models.

adversarial robustness 01 loss neural networks CIFAR10 adversarial attacks

2020-08-20abs ↗pdf ↗