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Technical Perspective: Traffic Classification in the Era of Deep Learning
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...

Traffic Classification in an Increasingly Encrypted Web
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...

Technical Perspective: Physical Layer Resilience through Deep Learning in Software Radios
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...

Polymorphic Wireless Receivers
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.

Technical Perspective: 'What Is the Ideal Operating System?'
From Communications of the ACM

Technical Perspective: 'What Is the Ideal Operating System?'

The authors of "Set the Configuration for the Heart of the OS" put a fresh view on the practicability of automatic kernel debloating.

Set the Configuration for the Heart of the OS
From Communications of the ACM

Set the Configuration for the Heart of the OS: On the Practicality of Operating System Kernel Debloating

This paper presents a study on the practicality of operating system kernel debloating, that is, reducing kernel code that is not needed by the target applications...

Technical Perspective: How Do Experts Learn New Programming Languages?
From Communications of the ACM

Technical Perspective: How Do Experts Learn New Programming Languages?

"Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?" by Shrestha et al. provides insight into the difficulty of learning...

Here We Go Again
From Communications of the ACM

Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?

Our findings demonstrate that interference is a widespread phenomenon, forcing programmers to adopt suboptimal, opportunistic learning strategies.

Technical Perspective: Applying Design-Space Exploration to Quantum Architectures
From Communications of the ACM

Technical Perspective: Applying Design-Space Exploration to Quantum Architectures

"Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers" presents a study on scaling trapped-ion quantum architectures, and challenges...

Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers
From Communications of the ACM

Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers

Toward realizing QCCD-based trapped ion systems with 50-100 qubits, we perform an extensive application-driven architectural study evaluating the key design choices...

Technical Perspective: Personalized Recommendation of PoIs to People with Autism
From Communications of the ACM

Technical Perspective: Personalized Recommendation of PoIs to People with Autism

"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that...

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs
From Communications of the ACM

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System

We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized...
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