Search Results for author: Haifeng Qian

Found 7 papers, 0 papers with code

Logical Credal Networks

no code implementations25 Sep 2021 Haifeng Qian, Radu Marinescu, Alexander Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu

This paper introduces Logical Credal Networks, an expressive probabilistic logic that generalizes many prior models that combine logic and probability.

An Ensemble Approach Towards Adversarial Robustness

no code implementations10 Jun 2021 Haifeng Qian

The new techniques are evaluated on MNIST and Fashion-MNIST, with no adversarial training.

Adversarial Robustness Robust classification

Oriole: Thwarting Privacy against Trustworthy Deep Learning Models

no code implementations23 Feb 2021 Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian

Deep Neural Networks have achieved unprecedented success in the field of face recognition such that any individual can crawl the data of others from the Internet without their explicit permission for the purpose of training high-precision face recognition models, creating a serious violation of privacy.

Data Poisoning Face Recognition +1

Neural Belief Reasoner

no code implementations10 Sep 2019 Haifeng Qian

The second is supervised learning: a robust MNIST classifier for 4 and 9, which is the most challenging pair of digits.

Adversarial Robustness

L2-Nonexpansive Neural Networks

no code implementations ICLR 2019 Haifeng Qian, Mark N. Wegman

This paper proposes a class of well-conditioned neural networks in which a unit amount of change in the inputs causes at most a unit amount of change in the outputs or any of the internal layers.

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