acm-header
Sign In

Communications of the ACM

Latest Research



Technical Perspective: Hiding Secrets in Programs
From Communications of the ACM

Technical Perspective: Hiding Secrets in Programs

"Indistinguishability Obfuscation from Well-Founded Assumptions," by Aayush Jain et al., gives a new construction of indistinguishability obfuscation that is provably...

Technical Perspective: What's All the Fuss about Fuzzing?
From Communications of the ACM

Technical Perspective: What's All the Fuss about Fuzzing?

"Boosting Fuzzer Efficiency: An Information Theoretic Perspective," by Marcel Böhme, Valentin J.M. Manès, and Sang Kil Cha, presents a novel twist to fuzzing that...

Boosting Fuzzer Efficiency: An Information Theoretic Perspective
From Communications of the ACM

Boosting Fuzzer Efficiency: An Information Theoretic Perspective

In this paper, we take the fundamental perspective of fuzzing as a learning process.

Technical Perspective: A Rare Glimpse of Tracking Fake Reviews
From Communications of the ACM

Technical Perspective: A Rare Glimpse of Tracking Fake Reviews

"Leveraging Social Media to Buy Fake Reviews," by Sherry He et al., represents a breakthrough in our empirical understanding of fake reviews on Amazon.

Leveraging Social Media to Buy Fake Reviews
From Communications of the ACM

Leveraging Social Media to Buy Fake Reviews

We study the market for fake product reviews on Amazon.com.

Technical Perspective: Opening the Door to SSD Algorithmics
From Communications of the ACM

Technical Perspective: Opening the Door to SSD Algorithmics

The authors of "Offline and Online Algorithms for SSD Management" propose a more accurate theoretical model of flash-based SSDs that views each page as containing...

Offline and Online Algorithms for SSD Management
From Communications of the ACM

Offline and Online Algorithms for SSD Management

We explore the problem of reducing high internal overhead of flash media which is referred to as write amplification from an algorithmic perspective, considering...

Technical Perspective: FoundationDB Performs Balancing Act
From Communications of the ACM

Technical Perspective: FoundationDB Performs Balancing Act

FoundationDB, as explored in "FoundationDB: A Distributed Key-Value Store," by Jingyu Zhou et al., pioneered the development of a scalable distributed key-value...

FoundationDB: A Distributed Key-Value Store
From Communications of the ACM

FoundationDB: A Distributed Key-Value Store

FoundationDB, an open-source transactional key-value store, is one of the first systems to combine the flexibility and scalability of NoSQL architectures with the...

Technical Perspective: Reconsidering the Design of User-Schedulable Languages
From Communications of the ACM

Technical Perspective: Reconsidering the Design of User-Schedulable Languages

The breakthrough of "Achieving High Performance the Functional Way," by Bastian Hagedorn et al., is in fundamentally rethinking the design of user-schedulable languages...

Achieving High Performance the Functional Way
From Communications of the ACM

Achieving High Performance the Functional Way: Expressing High-Performance Optimizations as Rewrite Strategies

We show how to employ functional programming techniques to solve with elegance the challenge of using a high-level language to describe functionality and a separate...

Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning
From Communications of the ACM

Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning

"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models...

Proving Data-Poisoning Robustness in Decision Trees
From Communications of the ACM

Proving Data-Poisoning Robustness in Decision Trees

We present a sound verification technique based on abstract interpretation and implement it in a tool called Antidote, which abstractly trains decision trees for...

Technical Perspective: The 'Art' of Automatic Benchmark Extraction
From Communications of the ACM

Technical Perspective: The 'Art' of Automatic Benchmark Extraction

"DIAMetrics," by Shaleen Deep et al., describes a versatile framework from Google for automatic extraction of benchmarks and their distributed execution and performance...

DIAMETRICS
From Communications of the ACM

DIAMETRICS: Benchmarking Query Engines at Scale

This paper introduces DIAMetrics: a novel framework for end-to-end benchmarking and performance monitoring of query engines.

Sampling Near Neighbors in Search for Fairness
From Communications of the ACM

Sampling Near Neighbors in Search for Fairness

We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.

Technical Perspective: Can Data Structures Treat Us Fairly?
From Communications of the ACM

Technical Perspective: Can Data Structures Treat Us Fairly?

In "Sampling Near Neighbors in Search for Fairness," Aumüller et al. investigate a basic problem in similarity search called near neighbor in the context of fair...

Technical Perspective: Visualization Search: From Sketching to Natural Language
From Communications of the ACM

Technical Perspective: Visualization Search: From Sketching to Natural Language

"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on...

Expressive Querying for Accelerating Visual Analytics
From Communications of the ACM

Expressive Querying for Accelerating Visual Analytics

In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.

Technical Perspective: Evaluating Sampled Metrics Is Challenging
From Communications of the ACM

Technical Perspective: Evaluating Sampled Metrics Is Challenging

"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact...
Sign In for Full Access
» Forgot Password? » Create an ACM Web Account