From the 1 of 6 linked papers with an AI index.
6 papers
Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms
Umid Suleymanov, Ilhama Novruzova, Khalid Mammadov +2
The paper studies how fairness-enhancing algorithms affect membership inference privacy risks across different subpopulations, revealing that privacy impacts vary with model type,…
GitInject: Real-World Prompt Injection Attacks in AI-Powered CI/CD Pipelines
Jafar Isbarov, Umid Suleymanov, Ilia Shumailov +1
AI-powered agents are increasingly embedded in continuous integration and continuous delivery/deployment (CI/CD) pipelines to autonomously review pull requests (PRs), triage issues…
Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection
Yan Zhou, Kevin Hamlen, Michael De Lucia +5
Machine learning-based intrusion detection requires complex models to capture patterns in high-dimensional, noisy, and class-imbalanced raw network traffic, yet deploying such mode…
SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning
Umid Suleymanov, Murat Kantarcioglu, Kevin S Chan +6
Real-world systems must continuously adapt to novel concepts from limited data without forgetting previously acquired knowledge. While Few-Shot Class-Incremental Learning (FSCIL) i…
Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive Information
Umid Suleymanov, Zaur Rajabov, Emil Mirzazada +1
While defenses for structured PII are mature, Large Language Models (LLMs) pose a new threat: Semantic Sensitive Information (SemSI), where models infer sensitive identity attribut…
NOMAD -- Navigating Optimal Model Application to Datastreams
Ashwin Gerard Colaco, Sharad Mehrotra, Michael J De Lucia +5
NOMAD (Navigating Optimal Model Application for Datastreams) is an intelligent framework for data enrichment during ingestion that optimizes realtime multiclass classification by d…