70 citations · 293 across the 70 of their papers we have counts for
5 papers · 1 filter
Feedback Coding Enables Inference-Time Covert Agentic Communication
Sidong Guo, Sajani Vithana, Atefeh Gilani +3
As large language models (LLMs) are increasingly used to automate digital interactions, users can leverage LLM-generated text as cover for covert communication within seemingly ben…
A Complete Characterization of Tensorizable -divergences
Rodrigo Cruz, Flavio P. Calmon, Qian Yu
Csiszar's formulation of the -divergence introduced a vast family of functionals for quantifying dissimilarity between probability distributions. However, many applications in s…
Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation
Sajani Vithana, Sangwon Jung, Haoyang Hu +3
Differential privacy (DP) imposes fundamental trade-offs between privacy and statistical fidelity in synthetic data generation. While access to public data has been shown to improv…
Sort, Partition, Randomize: Optimal Binary Hypothesis Testing under Local Differential Privacy
Elena Ghazi, Jawad Nasser, Flavio Calmon +1
We study optimal design of -locally differentially private mechanisms for binary hypothesis testing. Each observation is drawn from one of two known distributions $P_0…
ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport
Atefeh Gilani, Sajani Vithana, Carol Xuan Long +3
Watermarking is an important tool for promoting the responsible use of large language models (LLMs). Existing watermarks insert a signal into generated tokens that either flags LLM…