Soodeh Atefi

Soodeh Atefi

Ph.D. 2023
University of Houston
Soodeh joined the Resilient Networks and Systems Lab as a Ph.D. student in spring 2021. Her research interests include data science and machine learning. She defended her Ph.D. dissertation in 2023.
Data Science Machine Learning

SAGE: Similarity-Based Cleaning of Poisoned Training Data from Verified Examples

As machine learning increasingly relies on public, untrusted data sources, data poisoning attacks, which inject malicious examples into training data to induce misclassification of …

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Chaeeun Han
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The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox

Recently, bug-bounty programs have gained popularity and become a significant part of the security culture of many organizations. Bug-bounty programs enable organizations to …

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Soodeh Atefi
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Principled Data-Driven Decision Support for Cyber-Forensic Investigations

In the wake of a cybersecurity incident, it is crucial to promptly discover how the threat actors breached security in order to assess the impact of the incident and to develop and …

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Soodeh Atefi
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Efficient and Scalable Bug-Bounty Programs featured image

Efficient and Scalable Bug-Bounty Programs

Many organizations and companies have recently chosen to use so-called bug-bounty programs (also known as vulnerability reward programs), which allow outside security experts to evaluate the security of an organization’s products and services and to report security vulnerabilities in exchange for rewards. Bug-bounty programs provide unique benefits by allowing organizations to publicly signal their commitment to security and to harness the diverse expertise of thousands of security experts in an affordable way. Despite their rapidly growing popularity, bug-bounty programs are not well understood and can be mismanaged. As a result, bug bounty programs can waste substantial resources and they rarely live up to their potential to improve cybersecurity. This project will significantly improve the efficiency of bug-bounty programs by collecting and publishing comprehensive datasets on the bug-bounty ecosystem, by establishing a sound theory of bug-bounty programs, and by providing practical recommendations for organizations and regulators.