2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
MoPe: Model Perturbation-based Privacy Attacks on Language Models
Marvin Li, Jason Wang, Jeffrey Wang +1
Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations…
cs.LG2023
Black-Box Training Data Identification in GANs via Detector Networks
Lukman Olagoke, Salil Vadhan, Seth Neel
Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given…
q-fin.CP2023★ 2 cited
The Potential of Quantum Techniques for Stock Price Prediction
Naman S, Gaurang B, Neel S +1
We explored the potential applications of various Quantum Algorithms for stock price prediction by conducting a series of experimental simulations using both Classical as well as Q…