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,…
SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
Ali Asgarov, Umid Suleymanov, Aadyant Khatri
Solving mathematical reasoning problems requires not only accurate access to relevant knowledge but also careful, multi-step thinking. However, current retrieval-augmented models o…
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…
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…
CourtGuard: A Model-Agnostic Framework for Zero-Shot Policy Adaptation in LLM Safety
Umid Suleymanov, Rufiz Bayramov, Suad Gafarli +4
Current safety mechanisms for Large Language Models (LLMs) rely heavily on static, fine-tuned classifiers that suffer from adaptation rigidity, the inability to enforce new governa…
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…