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Technical Perspective: Pandemics, Remote Work, and Accessibility
From Communications of the ACM

Technical Perspective: Pandemics, Remote Work, and Accessibility

"Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship," by Kelly Mack et al., provides guidance on how to make remote...

Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
From Communications of the ACM

Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship

Interns, full-time members, and affiliates of a Microsoft Research team focused on accessibility report on the experiences of virtual interns in 2020 navigating...

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: What Does Provable Security Mean for Cryptographic Schemes?
From Communications of the ACM

Technical Perspective: What Does Provable Security Mean for Cryptographic Schemes?

For a given cryptographic scheme, as perfect security is almost never achievable, one requires a computational assumption. Computational assumptions are some well...

On the (In)Security of ElGamal in OpenPGP
From Communications of the ACM

On the (In)Security of ElGamal in OpenPGP

We reveal that in the interoperable world of OpenPGP, unforeseen cross-configuration attacks become possible.

Technical Perspective: Finding Connections between One-Way Functions and Kolmogorov Complexity
From Communications of the ACM

Technical Perspective: Finding Connections between One-Way Functions and Kolmogorov Complexity

"Toward Basing Cryptography on the Hardness of EXP," by Yanyi Liu and Rafael Pass, establishes surprisingly tight bidirectional connections between one-way functions...

Toward Basing Cryptography on the Hardness of EXP
From Communications of the ACM

Toward Basing Cryptography on the Hardness of EXP

We show that the only "gap" toward getting (infinitely-often) OWFs from the assumption that EXP ≠ BPP is the seemingly "minor" technical gap between two-sided error...

Technical Perspective: On Abstractions and Embedded Networks
From Communications of the ACM

Technical Perspective: On Abstractions and Embedded Networks

"Symbol-Synchronous Buses," by Jonathan Oostvogels et al., conceives a notion of a symbol-synchronous bus, which effectively makes a multi-hop wireless network...

Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs
From Communications of the ACM

Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs

We describe a novel networking paradigm that aims to enable a new class of latency-sensitive applications by systematically breaking networking abstractions.

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 Impact of Auditing for Algorithmic Bias
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...

Actionable Auditing Revisited
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...

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.
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