Search Results for author: Ruby B. Lee

Found 4 papers, 0 papers with code

CloudShield: Real-time Anomaly Detection in the Cloud

no code implementations20 Aug 2021 Zecheng He, Ruby B. Lee

Once an anomaly is detected, to reduce alert fatigue, CloudShield automatically distinguishes between benign programs, known attacks, and zero-day attacks, by examining the prediction error distributions.

Anomaly Detection

Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support

no code implementations11 Mar 2021 Guangyuan Hu, Zecheng He, Ruby B. Lee

Impostors are attackers who take over a smartphone and gain access to the legitimate user's confidential and private information.

VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting

no code implementations9 Aug 2018 Zecheng He, Tianwei Zhang, Ruby B. Lee

Even small weight changes can be clearly reflected in the model outputs, and observed by the customer.

Privacy-preserving Machine Learning through Data Obfuscation

no code implementations5 Jul 2018 Tianwei Zhang, Zecheng He, Ruby B. Lee

While it is prevalent to outsource model training and serving tasks in the cloud, it is important to protect the privacy of sensitive samples in the training dataset and prevent information leakage to untrusted third parties.

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