18 citations · 35 across the 11 of their papers we have counts for
4 papers · 1 filter
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory
Xiaochen Li, Weiran Liu, Jian Lou +4
Top- frequent items detection is a fundamental task in data stream mining. Many promising solutions are proposed to improve memory efficiency while still maintaining high accura…
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach
Yuke Hu, Jian Lou, Jiaqi Liu +4
Over the past years, Machine Learning-as-a-Service (MLaaS) has received a surging demand for supporting Machine Learning-driven services to offer revolutionized user experience acr…
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
Yiling He, Jian Lou, Zhan Qin +1
Deep learning classifiers achieve state-of-the-art performance in various risk detection applications. They explore rich semantic representations and are supposed to automatically…
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
Shuo Shao, Wenyuan Yang, Hanlin Gu +4
Federated learning (FL) is a distributed machine learning paradigm allowing multiple clients to collaboratively train a global model without sharing their local data. However, FL e…