Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: The Impact of Auditing for Algorithmic Bias
"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded...
From Communications of the ACM
Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial...
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...
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.
From Communications of the ACM
Technical Perspective: The Power of Low-Power GPS Receivers for Nanosats
The work explored in "Hummingbird," by Sujay Narayana et al., focuses on the energy consumption of a typical GPS receiver and its operational challenges in a nanosat...
From Communications of the ACM
Hummingbird: An Energy-Efficient GPS Receiver for Small Satellites
In this work, we elucidate the design of a low-cost, low-power GPS receiver for small satellites.
From Communications of the ACM
Technical Perspective: Traffic Classification in the Era of Deep Learning
"Traffic Classification in an Increasingly Encrypted Web," by Iman Akbari et al., does a great job in reviewing related work in the network traffic classification...
From Communications of the ACM
Traffic Classification in an Increasingly Encrypted Web
In this paper, we design a novel feature engineering approach used for encrypted Web protocols, and develop a neural network architecture based on stacked long...
From Communications of the ACM
Technical Perspective: Achieve Big with Devices that Track Small Things
"AuraRing: Precise Electromagnetic Finger Tracking," by Farshid Salemi Parizi, Eric Whitmire, and Shwetak Patel, details the AuraRing system's remarkable ability...
From Communications of the ACM
AuraRing: Precise Electromagnetic Finger Tracking
We present AuraRing, a wearable magnetic tracking system designed for tracking fine-grained finger movement.
From Communications of the ACM
Technical Perspective: The Effectiveness of Security Measures
"Measuring Security Practices," by Louis F. DeKoven et al., provide a unique perspective into how users choose to implement common security advice in practice. ...
From Communications of the ACM
Measuring Security Practices
This paper seeks to make progress on the prevalence of popular security practices and their relationship to security outcomes via the longitudinal empirical measurement...
From Communications of the ACM
Technical Perspective: Physical Layer Resilience through Deep Learning in Software Radios
"Polymorphic Wireless Receivers," by Francesco Restuccia and Tommaso Melodia, tackles the problem of physical layer resilience in wireless systems from a completely...
From Communications of the ACM
Polymorphic Wireless Receivers
We introduce PolymoRF, a deep learning-based polymorphic receiver able to reconfigure itself in real time based on the inferred waveform parameters.
From Communications of the ACM
Technical Perspective: hXDP: Light and Efficient Packet Processing Offload
In "hXDP: Efficient Software Packet Processing on FPGA NICs," the authors offer an interesting solution to bridging the performance gap between the CPU and the...
From Communications of the ACM
hXDP: Efficient Software Packet Processing on FPGA NICs
We present hXDP, a solution to run on FPGAs software packet processing tasks described with the eBPF technology and targeting the Linux's eXpress Data Path.
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.
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...
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...
From Communications of the ACM