Research and Advances – Page 7 – Communications of the ACM

Oct 1 2022

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 space.

Athina Markopoulou

Artificial Intelligence and Machine Learning

Oct 1 2022

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 short-term memory layers and convolutional neural networks.

Artificial Intelligence and Machine Learning

Oct 1 2022

AuraRing: Precise Electromagnetic Finger Tracking

We present AuraRing, a wearable magnetic tracking system designed for tracking fine-grained finger movement.

Farshid Salemi Parizi, Eric Whitmire, and Shwetak Patel

Computing Applications

pointing finger and hand wearing an AuraRing and tracker

Sep 1 2022

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 new perspective.

Falko Dressler

Architecture and Hardware

Sep 1 2022

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.

Nicolas Christin

Security and Privacy

Sep 1 2022

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 of a large population of computer devices.

Security and Privacy

security operator monitoring multiple screens

Sep 1 2022

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.

Francesco Restuccia and Tommaso Melodia

Architecture and Hardware

Sep 1 2022

Advancing the Ability of Robots to Help

ACM Athena Lecturer Ayanna Howard considers the benefits of robotics and the potential drawbacks of overtrust.

Leah Hoffmann

Architecture and Hardware

Dean Ayanna Howard of the Ohio State University College of Engineering

Sep 1 2022

Deploying Decentralized, Privacy-Preserving Proximity Tracing

Lessons from a pandemic.

Computing Applications

passengers in airport terminal separated by seats marked 'x'

Sep 1 2022

Deconstructing the Bakery to Build a Distributed State Machine

A rigorous journey from the bakery algorithm to a distributed state machine.

Leslie Lamport

Artificial Intelligence and Machine Learning

ticket dispenser in front of an alphanumeric display screen, illustration

Sep 1 2022

When SDN and Blockchain Shake Hands

A survey of recent efforts to combine SDN and BC shows promising results and points to directions for future research.

Majd Latah and Kubra Kalkan

Computing Profession

Aug 1 2022

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.

Computing Applications

Aug 1 2022

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.

Architecture and Hardware

Aug 1 2022

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 data structures.

Qin Zhang

Computing Applications

Aug 1 2022

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 home network.

Noa Zilberman

Architecture and Hardware

Aug 1 2022

Advances in the Quantum Internet

A deep dive into the quantum Internet's potential to transform and disrupt.

Laszlo Gyongyosi and Sandor Imre

Architecture and Hardware

Aug 1 2022

The Seattle Report on Database Research

Every five years, a group of the leading database researchers meet to reflect on their community's impact on the computing industry as well as examine current research challenges.

Computing Applications

database stacks marked with descriptive text

Aug 1 2022

The Dawn of Crowdfarms

Some small companies are making crowdwork part of their formal business via teams that can complete multifaceted, complex tasks requiring specialized expertise.

Computing Applications

group looking together at same computer displays

Jul 1 2022

On Sampled Metrics for Item Recommendation

This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing different criteria.

Walid Krichene and Steffen Rendle

Artificial Intelligence and Machine Learning

figures presented as a population sample, illustration

Jul 1 2022

Toward Verified Artificial Intelligence

Making AI more trustworthy with a formal methods-based approach to AI system verification and validation.

Sanjit A. Seshia, Dorsa Sadigh, and S. Shankar Sastry

Architecture and Hardware

Jul 1 2022

Language Models: Past, Present, and Future

A language modeling overview, highlighting basic concepts, intuitive explanations, technical achievements, and fundamental challenges.

Hang Li

Artificial Intelligence and Machine Learning

physical representation of a human-robot interaction, illustration

Jul 1 2022

When Satisfiability Solving Meets Symbolic Computation

The science of less-than-brute force.

Curtis Bright, Ilias Kotsireas, and Vijay Ganesh

Artificial Intelligence and Machine Learning

colorful blocks of patterned lines, illustration

Jul 1 2022

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.

Computing Applications

colorful blocks in binocular lenses, illustration

Jul 1 2022

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 of using sampled metrics instead of exactly computed metrics.

Fabio Vandin

Artificial Intelligence and Machine Learning

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