9 citations · 9 across the 6 of their papers we have counts for
6 papers
Identity-Focused Inference and Extraction Attacks on Diffusion Models
Jayneel Vora, Aditya Krishnan, Nader Bouacida +2
The increasing reliance on diffusion models for generating synthetic images has amplified concerns about the unauthorized use of personal data, particularly facial images, in model…
PTQ4ADM: Post-Training Quantization for Efficient Text Conditional Audio Diffusion Models
Jayneel Vora, Aditya Krishnan, Nader Bouacida +2
Denoising diffusion models have emerged as state-of-the-art in generative tasks across image, audio, and video domains, producing high-quality, diverse, and contextually relevant d…
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models
Jayneel Vora, Nader Bouacida, Aditya Krishnan +1
We introduce FedDM, a novel training framework designed for the federated training of diffusion models. Our theoretical analysis establishes the convergence of diffusion models whe…
Opportunistic Episodic Reinforcement Learning
Xiaoxiao Wang, Nader Bouacida, Xueying Guo +1
In this paper, we propose and study opportunistic reinforcement learning - a new variant of reinforcement learning problems where the regret of selecting a suboptimal action varies…
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida, Jiahui Hou, Hui Zang +1
With more regulations tackling users' privacy-sensitive data protection in recent years, access to such data has become increasingly restricted and controversial. To exploit the we…
An Opportunistic Bandit Approach for User Interface Experimentation
Nader Bouacida, Amit Pande, Xin Liu
Facing growing competition from online rivals, the retail industry is increasingly investing in their online shopping platforms to win the high-stake battle of customer' loyalty. U…