Genre
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
This paper presents an auditing procedure for the Differentially Private Stochastic Gradient Descent (DP-SGD) algorithm in the black-box threat model that is substantially tighter than prior work.
Inference of Neural Dynamics Using Switching Recurrent Neural Networks
SRNNs are able to automatically identify discrete states with distinct nonlinear neural dynamics.
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention Y u Lu
Our project page is at: https://yulu.net.cn/freelong .
Parallelizing Model-based Reinforcement Learning Over the Sequence Length
Recently, Model-based Reinforcement Learning (MBRL) methods have demonstrated stunning sample efficiency in various RL domains.
Backdoor Attacks on Multivariate Time Series Forecasting
Unlike traditional backdoor attacks that focus on specific class labels, our approach aims to induce poisoned models to predict future data as a predefined target pattern.
