8 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
SEABench: Benchmarking Endogenous Misalignment In Self-Evolving Agents
Saswat Das, Parvati Viswanathan, Daniel Donnelly +3
Self-evolving LLM agents have gained prominence for their ability to improve after deployment by modifying their harness, including their controller instructions, memory management…
NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents
Saswat Das, Ferdinando Fioretto
Agentic Large Language Models (LLMs) are models able to reason, plan, and execute tools over unstructured data. These abilities enable transformative applications in domains spanni…
Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents
Saswat Das, Jameson Sandler, Ferdinando Fioretto
LLM agents have begun to appear as personal assistants, customer service bots, and clinical aides. While these applications deliver substantial operational benefits, they also requ…
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
Joonhyuk Ko, Juba Ziani, Saswat Das +2
Statistical agencies rely on sampling techniques to collect socio-demographic data crucial for policy-making and resource allocation. This paper shows that surveys of important soc…
Advances in Differential Privacy and Differentially Private Machine Learning
Saswat Das, Subhankar Mishra
There has been an explosion of research on differential privacy (DP) and its various applications in recent years, ranging from novel variants and accounting techniques in differen…