"Speculative Taint Tracking (STT): A Comprehensive Protection for Speculatively Accessed Data," by Jiyong Yu et al., might be a beginning of an end to speculation...Timothy Sherwood From Communications of the ACM | December 2021
This paper proposes speculative taint tracking (STT), a high security and high performance hardware mechanism, to block speculative execution attacks.
Jiyong Yu, Mengjia Yan, Artem Khyzha, Adam Morrison, Josep Torrellas, Christopher W. Fletcher From Communications of the ACM | December 2021
"Software-Defined Cooking Using a Microwave Oven," by Haojian Jin et al., introduces a feedback mechanism to microwave heating through a technique the authors call...Fadel Adib From Communications of the ACM | December 2021
We present software-defined cooking (SDC), a low-cost closed-loop microwave oven system that aims to heat food in a software-defined thermal trajectory.
Haojian Jin, Jingxian Wang, Swarun Kumar, Jason Hong From Communications of the ACM | December 2021
In this work, we study a fourth modification to the notion of efficient verification that originates in the study of quantum entanglement.
Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John Wright, Henry Yuen From Communications of the ACM | November 2021
"Multi-Itinerary Optimization as Cloud Service," by Alexandru Cristian et al., makes accessible an end-to-end cloud service that produces traffic-aware, real-time...Pascal Van Hentenryck From Communications of the ACM | November 2021
We describe multi-itinerary optimization, a novel Bing Maps service that automates the process of building itineraries for multiple agents while optimizing their...Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache From Communications of the ACM | November 2021
"Securing the Wireless Emergency Alerts System," by Jihoon Lee et al., investigates real-world attacks on the current implementation of Wireless Emergency Alerts...Ahmad-Reza Sadeghi From Communications of the ACM | October 2021
We investigate the Wireless Emergency Alert system and develop and demonstrate the first practical spoofing attack on Presidential Alerts, using commercially available...Jihoon Lee, Gyuhong Lee, Jinsung Lee, Youngbin Im, Max Hollingsworth, Eric Wustrow, Dirk Grunwald, Sangtae Ha From Communications of the ACM | October 2021
"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...Tam Vu From Communications of the ACM | October 2021
We present the first approach for checking the internal validity of online experiments statically, that is, from code alone.
Emma Tosch, Eytan Bakshy, Emery D. Berger, David D. Jensen, J. Eliot B. Moss From Communications of the ACM | September 2021
"WINOGRANDE" explores new methods of dataset development and adversarial filtering, expressly designed to prevent AI systems from making claims of smashing through...Leora Morgenstern From Communications of the ACM | September 2021
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...Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi From Communications of the ACM | September 2021
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...Josiah D. Hester From Communications of the ACM | August 2021
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...Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Hoang Truong, Taeho Kim, Nicholas Farrow, Anh Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh, Tam Vu From Communications of the ACM | August 2021
"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...Constantinos Daskalakis From Communications of the ACM | August 2021
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...Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai S. Ravindranath From Communications of the ACM | August 2021