3 papers
cs.CR2026
Forecasting Cybersecurity Incidents Using Geopolitical Data and Large Language Models
Mark Fesenko, Abdullah Garra, Yaniv Harel +1
Predicting security incidents is a profound task critical for informing proactive defensive measures and cyber-insurance policies. Prior work tackling this problem mainly utilized…
cs.CR2026
The TellTail of Embeddings: Fingerprinting Retrievers in Black-Box Systems
Abdullah Garra, Matan Ben-Tov, Mahmood Sharif
Dense embedding models are core to modern text retrieval, enabling systems ranging from web search to retrieval-augmented generation (RAG). Yet, retrievers are usually deployed wit…
cs.GT2026
Mitigating Emergent Collusion in LLM Pricing Agents
Abdullah Garra
Recent work shows that LLM-based pricing agents can produce supracompetitive outcomes in repeated oligopoly environments without being explicitly instructed to collude. We reproduc…