388 citations · 1.5k across the 94 of their papers we have counts for
98 papers
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…
DER Allocation without Load Prediction via Reinforcement Learning
Abed AlRahman Al Makdah, Aravind Ramana, Shaofeng Zou +2
The growing variability of renewable generation increases the need for fast and flexible grid-balancing mechanisms. Existing frameworks for distributed energy resource aggregations…
Forecast and Model Predictive Control of Distributed Energy Resource Aggregators for Net-Demand Balancing
Obai Bahwal, Oliver Kosut, Lalitha Sankar
With the rapid demand for energy, even the incorporation of bulk renewable energy sources is not entirely sufficient to meet demand besides adding supply uncertainty. Distributed E…
DP-MacAdam: Differentially Private Mechanism with Adaptive Clipping and Adaptive Momentum
Naima Tasnim, Lalitha Sankar, Oliver Kosut
Differentially private stochastic gradient descent (DP-SGD) has become the standard framework for privacy-preserving machine learning, yet its reliance on a fixed gradient clipping…
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…
An information theorist's tour of differential privacy
Anand D. Sarwate, Flavio P. Calmon, Oliver Kosut +1
Since being proposed in 2006, differential privacy has become a standard method for quantifying certain risks in publishing or sharing analyses of sensitive data. At its heart, dif…