collaborators

5 papers

cs.CR2026

ResumeShield: Channel Separation and an Open Benchmark for Indirect Prompt Injection in AI Resume Screening

Jay Barach

An AI resume screener reads a document supplied by the person it is evaluating, inverting the usual trust relationship between an assessor and the material it assesses. Candidates…

cs.CY2026

Utilizing AI-Driven Project Management Tools for Optimized Talent Management in HRM: A Framework for Enhanced Resource Allocation and Performance Prediction

Jay Barach

When it comes to aiding businesses with demanding tasks regarding human resource management, TalentOptima unequivocally boasts of the best there is to offer. This tool utilizes AI…

cs.CY2026

Counterfactual, Per-Decision Bias Auditing for Automated Hiring: Localizing and Explaining Disparate Impact in Applicant Tracking Systems

Jay Barach

Automated applicant tracking systems increasingly decide who advances in hiring, and litigation and regulation now demand that those decisions be auditable. Existing tools sit at t…

cs.CR2026

AuthProbe: Specification-Driven, Multi-Identity Detection of Broken Object-Level Authorization in Recruitment API

Jay Barach

Broken Object-Level Authorization (BOLA), also known as Insecure Direct Object Reference (IDOR), has topped the OWASP API Security ranking since 2019 and is the root cause of some…

cs.CY2026

AI-Increased Talent Retention Strategies: Fostering Long-Term Employee Engagement and Development in Talent Management

Jay Barach

The integration of AI in Talent Management is a change in the way that organizations are designing their strategies for Talent Retention (TR), engagement, and future strategy. New…