1 citations · 3 across the 18 of their papers we have counts for
6 papers · 1 filter
Differentially private exact recovery for stochastic block models
Dung Nguyen, Anil Vullikanti
Stochastic block models (SBMs) are a very commonly studied network model for community detection algorithms. In the standard form of an SBM, the vertices (or nodes) of a graph…
Contrastive Explainable Clustering with Differential Privacy
Dung Nguyen, Ariel Vetzler, Sarit Kraus +1
This paper presents a novel approach to Explainable AI (XAI) that combines contrastive explanations with differential privacy for clustering algorithms. Focusing on k-median and k-…
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
Zirou Qiu, Abhijin Adiga, Madhav V. Marathe +4
Networked dynamical systems are widely used as formal models of real-world cascading phenomena, such as the spread of diseases and information. Prior research has addressed the pro…
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
Zihan Guan, Mengxuan Hu, Sheng Li +1
Diffusion models are vulnerable to backdoor attacks, where malicious attackers inject backdoors by poisoning certain training samples during the training stage. This poses a signif…
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav V. Marathe +4
Discrete dynamical systems are commonly used to model the spread of contagions on real-world networks. Under the PAC framework, existing research has studied the problem of learnin…
A Scalable Game-theoretic Approach to Urban Evacuation Routing and Scheduling
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe +3
Evacuation planning is an essential part of disaster management where the goal is to relocate people under imminent danger to safety. However, finding jointly optimal evacuation ro…