29 citations · 49 across the 10 of their papers we have counts for
11 papers
Reaction Attack on CKKS Deployments with Asymptotically Optimal Query Complexity
Song Bian, Hyeongmin Choe, Jiseung Kim +1
We study a protocol-level reaction leakage in CKKS deployments where public coefficient-to-slot (C2S) evaluation keys are combined with a client's 1-bit validity response. Under th…
Federated Empirical Risk Minimization via Second-Order Method
Song Bian, Zhao Song, Junze Yin
Many convex optimization problems with important applications in machine learning are formulated as empirical risk minimization (ERM). There are several examples: linear and logist…
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, Zhiwei Fan +1
We study the certifiable robustness of ML classifiers on dirty datasets that could contain missing values. A test point is certifiably robust for an ML classifier if the classifier…
Does compressing activations help model parallel training?
Song Bian, Dacheng Li, Hongyi Wang +2
Large-scale Transformer models are known for their exceptional performance in a range of tasks, but training them can be difficult due to the requirement for communication-intensiv…
Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption
Ryotaro Banno, Kotaro Matsuoka, Naoki Matsumoto +3
In many Internet of Things (IoT) applications, data sensed by an IoT device are continuously sent to the server and monitored against a specification. Since the data often contain…
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python
Jinglin Peng, Weiyuan Wu, Brandon Lockhart +6
Exploratory Data Analysis (EDA) is a crucial step in any data science project. However, existing Python libraries fall short in supporting data scientists to complete common EDA ta…