232 citations · 685 across the 13 of their papers we have counts for
14 papers
SPECWANDS: An Efficient Priority-based Scheduler Against Speculation Contention Attacks
Bowen Tang, Chenggang Wu, Pen-Chung Yew +7
Transient Execution Attacks (TEAs) have gradually become a major security threat to modern high-performance processors. They exploit the vulnerability of speculative execution to i…
Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques
Peihua Zhang, Chenggang Wu, Mingfan Peng +6
Software obfuscation techniques can prevent binary diffing techniques from locating vulnerable code by obfuscating the third-party code, to achieve the purpose of protecting embedd…
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods
Lichen Jia, Bowen Tang, Chenggang Wu +6
The binary code similarity detection (BCSD) method measures the similarity of two binary executable codes. Recently, the learning-based BCSD methods have achieved great success, ou…
DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification
Yongbiao Chen, Sheng Zhang, Fangxin Liu +3
In this paper, we make the very first attempt to investigate the integration of deep hash learning with vehicle re-identification. We propose a deep hash-based vehicle re-identific…
SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks
Bowen Tang, Chenggang Wu, Zhe Wang +6
Speculative execution techniques have been a cornerstone of modern processors to improve instruction-level parallelism. However, recent studies showed that this kind of techniques…
Optimizing Prediction Serving on Low-Latency Serverless Dataflow
Vikram Sreekanti, Harikaran Subbaraj, Chenggang Wu +2
Prediction serving systems are designed to provide large volumes of low-latency inferences machine learning models. These systems mix data processing and computationally intensive…
A Fault-Tolerance Shim for Serverless Computing
Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati +3
Serverless computing has grown in popularity in recent years, with an increasing number of applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS pla…
Cloudburst: Stateful Functions-as-a-Service
Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin +5
Function-as-a-Service (FaaS) platforms and "serverless" cloud computing are becoming increasingly popular. Current FaaS offerings are targeted at stateless functions that do minima…
Deep Unsupervised Cardinality Estimation
Zongheng Yang, Eric Liang, Amog Kamsetty +7
Cardinality estimation has long been grounded in statistical tools for density estimation. To capture the rich multivariate distributions of relational tables, we propose the use o…
Serverless Computing: One Step Forward, Two Steps Back
Joseph M. Hellerstein, Jose Faleiro, Joseph E. Gonzalez +4
Serverless computing offers the potential to program the cloud in an autoscaling, pay-as-you go manner. In this paper we address critical gaps in first-generation serverless comput…
Eliminating Boundaries in Cloud Storage with Anna
Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein
In this paper, we describe how we extended a distributed key-value store called Anna into an elastic, multi-tier service for the cloud. In its extended form, Anna is designed to ov…
Approximation of barter exchanges with cycle length constraints
Suiqian Luo, Pingzhong Tang, Chenggang Wu +1
We explore the clearing problem in the barter exchange market. The problem, described in the terminology of graph theory, is to find a set of vertex-disjoint, length-restricted cyc…
Hardness of robust graph isomorphism, Lasserre gaps, and asymmetry of random graphs
Ryan O'Donnell, John Wright, Chenggang Wu +1
Building on work of Cai, Fürer, and Immerman \cite{CFI92}, we show two hardness results for the Graph Isomorphism problem. First, we show that there are pairs of nonisomorphic -…
Decision Trees, Protocols, and the Fourier Entropy-Influence Conjecture
Andrew Wan, John Wright, Chenggang Wu
Given , define the \emph{spectral distribution} of to be the distribution on subsets of in which the set is sampled with probabil…