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Technical Perspective: The Real-World Dilemma of Security and Privacy by Design
From Communications of the ACM

Technical Perspective: The Real-World Dilemma of Security and Privacy by Design

"Securing the Wireless Emergency Alerts System," by Jihoon Lee et al., investigates real-world attacks on the current implementation of Wireless Emergency Alerts...

Securing the Wireless Emergency Alerts System
From Communications of the ACM

Securing the Wireless Emergency Alerts System

We investigate the Wireless Emergency Alert system and develop and demonstrate the first practical spoofing attack on Presidential Alerts, using commercially available...

Technical Perspective: Liquid Testing Using Built-in Phone Sensors
From Communications of the ACM

Technical Perspective: Liquid Testing Using Built-in Phone Sensors

"Liquid Testing with Your Smartphone," by Shichao Yue and Dina Katabi, proposes a novel technique for determining the surface tension of a liquid by leveraging...

Liquid Testing with Your Smartphone
From Communications of the ACM

Liquid Testing with Your Smartphone

We show a simple and accurate approach to measuring surface tension that's available to anyone with a smartphone.

Technical Perspective: Does Your Experiment Smell?
From Communications of the ACM

Technical Perspective: Does Your Experiment Smell?

"PlanAlyzer," by Emma Tosch et al., details PlanAlyzer software, the first tool to statically check the validity of online experiments.

PlanAlyzer
From Communications of the ACM

PlanAlyzer: Assessing Threats to the Validity of Online Experiments

We present the first approach for checking the internal validity of online experiments statically, that is, from code alone.

Technical Perspective: The Importance of WINOGRANDE
From Communications of the ACM

Technical Perspective: The Importance of WINOGRANDE

"WINOGRANDE" explores new methods of dataset development and adversarial filtering, expressly designed to prevent AI systems from making claims of smashing through...

WinoGrande
From Communications of the ACM

WinoGrande: An Adversarial Winograd Schema Challenge at Scale

We introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge, but adjusted to improve both the scale and the...

Technical Perspective: eBP Rides the Third Wave of Mobile Health
From Communications of the ACM

Technical Perspective: eBP Rides the Third Wave of Mobile Health

The automated blood pressure wearable system described in "eBP," by Nam Bui et al., is a sterling example of the third wave of mobile health tech to fill the preventative...

eBP
From Communications of the ACM

eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring

We developed eBP to measure blood pressure from inside a user's ear aiming to minimize the measurement's impact on normal activities while maximizing its comfort...

Technical Perspective: The Quest for Optimal Multi-Item Auctions
From Communications of the ACM

Technical Perspective: The Quest for Optimal Multi-Item Auctions

"Optimal Auctions Through Deep Learning," by Paul Dütting et al., contributes a very interesting and forward-looking new take on the optimal multi-item mechanism...

Optimal Auctions Through Deep Learning
From Communications of the ACM

Optimal Auctions Through Deep Learning

We overview recent research results that show how tools from deep learning are shaping up to become a powerful tool for the automated design of near-optimal auctions...

Technical Perspective: Tracking Pandemic-Driven Internet Traffic
From Communications of the ACM

Technical Perspective: Tracking Pandemic-Driven Internet Traffic

"A Year in Lockdown," by Anja Feldmann, et al., offers a detailed look at how Internet traffic changed during the COVID-19 pandemic.

A Year in Lockdown
From Communications of the ACM

A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic

We review the impact of the first year of the COVID-19 pandemic on Internet traffic in order to analyze its performance.

Technical Perspective: An Elegant Model for Deriving Equations
From Communications of the ACM

Technical Perspective: An Elegant Model for Deriving Equations

"Deriving Equations from Sensor Data Using Dimensional Function Synthesis," by Vasileios Tsoutsouras, et al., addresses the key problem of discovering relationships...

Deriving Equations from Sensor Data Using Dimensional Function Synthesis
From Communications of the ACM

Deriving Equations from Sensor Data Using Dimensional Function Synthesis

We present a new method, which we call dimensional function synthesis, for deriving functions that model the relationship between multiple signals in a physical...

From Communications of the ACM

Technical Perspective: Race Logic Presents a Novel Form of Encoding

"In-Sensor Classification With Boosted Race Trees," by Georgios Tzimpragos, et al., proposes a surprising, novel, and creative approach to post-Moore's Law computing...

In-Sensor Classification With Boosted Race Trees
From Communications of the ACM

In-Sensor Classification With Boosted Race Trees

We demonstrate the potential of a novel form of encoding, race logic, in which information is represented as the delay in the arrival of a signal.

From Communications of the ACM

Technical Perspective: A Chiplet Prototype System for Deep Learning Inference

"Simba," by Yakun Sophia Shao, et al., presents a scalable deep learning accelerator architecture that tackles issues ranging from chip integration technology to...

Simba
From Communications of the ACM

Simba: Scaling Deep-Learning Inference with Chiplet-Based Architecture

This work investigates and quantifies the costs and benefits of using multi-chip-modules with fine-grained chiplets for deep learning inference, an application...
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