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03/01/2023
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails
Research on email anomaly detection has typically relied on specially pr...
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09/22/2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning
When learning from sensitive data, care must be taken to ensure that tra...
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08/03/2021
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
Machine learning (ML) models are known to be vulnerable to adversarial e...
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08/07/2020
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
Privacy policies are statements that notify users of the services' data ...
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07/31/2020
Using Context and Interactions to Verify User-Intended Network Requests
Client-side malware can attack users by tampering with applications or u...
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12/09/2019
Machine Unlearning
Once users have shared their data online, it is generally difficult for ...
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10/11/2019
SoK: Hardware Security Support for Trustworthy Execution
In recent years, there have emerged many new hardware mechanisms for imp...
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03/16/2019
MultiK: A Framework for Orchestrating Multiple Specialized Kernels
We present, MultiK, a Linux-based framework 1 that reduces the attack su...
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11/29/2017
Senx: Sound Patch Generation for Security Vulnerabilities
Many techniques have been proposed for automatic patch generation and th...
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11/06/2017
SAIC: Identifying Configuration Files for System Configuration Management
Systems can become misconfigured for a variety of reasons such as operat...
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11/02/2017
BinPro: A Tool for Binary Source Code Provenance
Enforcing open source licenses such as the GNU General Public License (G...
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11/02/2017
Talos: Neutralizing Vulnerabilities with Security Workarounds for Rapid Response
Considerable delays often exist between the discovery of a vulnerability...
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11/02/2017
Ocasta: Clustering Configuration Settings For Error Recovery
Effective machine-aided diagnosis and repair of configuration errors con...
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10/10/2017
