"Leveraging Social Media to Buy Fake Reviews," by Sherry He et al., represents a breakthrough in our empirical understanding of fake reviews on Amazon.
Shreyas Sekar From Communications of the ACM | October 2023
In "A Manifold View of Connectivity in the Private Backbone Networks of Hyperscalers," Salamatian et al. assemble techniques from the two broad strategies developed...Sara Alouf From Communications of the ACM | August 2023
We present a new empirical approach for elucidating connectivity in privately owned and operated backbone networks.
Loqman Salamatian, Scott Anderson, Joshua Mathews, Paul Barford, Walter Willinger, Mark Crovella From Communications of the ACM | August 2023
"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...John Richards From Communications of the ACM | August 2023
Interns, full-time members, and affiliates of a Microsoft Research team focused on accessibility report on the experiences of virtual interns in 2020 navigating...Kelly Mack, Maitraye Das, Dhruv Jain, Danielle Bragg, John Tang, Andrew Begel, Erin Beneteau, Josh Urban Davis, Abraham Glasser, Joon Sung Park, Venkatesh Potluri From Communications of the ACM | August 2023
"Symbol-Synchronous Buses," by Jonathan Oostvogels et al., conceives a notion of a symbol-synchronous bus, which effectively makes a multi-hop wireless network...Luca Mottola From Communications of the ACM | April 2023
We describe a novel networking paradigm that aims to enable a new class of latency-sensitive applications by systematically breaking networking abstractions.
Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny Hughes From Communications of the ACM | April 2023
The breakthrough of "Achieving High Performance the Functional Way," by Bastian Hagedorn et al., is in fundamentally rethinking the design of user-schedulable languages...Jonathan Ragan-Kelley From Communications of the ACM | March 2023
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...Bastian Hagedorn, Johannes Lenfers, Thomas Kœhler, Xueying Qin, Sergei Gorlatch, Michel Steuwer From Communications of the ACM | March 2023
"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models...Martin Vechev From Communications of the ACM | February 2023
We present a sound verification technique based on abstract interpretation and implement it in a tool called Antidote, which abstractly trains decision trees for...Samuel Drews, Aws Albarghouthi, Loris D'Antoni From Communications of the ACM | February 2023
"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded...Vincent Conitzer, Gillian K. Hadfield, Shannon Vallor From Communications of the ACM | January 2023
This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial...Inioluwa Deborah Raji, Joy Buolamwini From Communications of the ACM | January 2023
"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...Athina Markopoulou From Communications of the ACM | October 2022
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...Iman Akbari, Mohammad A. Salahuddin, Leni Ven, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stephanie Moteau, Stephane Tuffin From Communications of the ACM | October 2022
"Polymorphic Wireless Receivers," by Francesco Restuccia and Tommaso Melodia, tackles the problem of physical layer resilience in wireless systems from a completely...Falko Dressler From Communications of the ACM | September 2022
We introduce PolymoRF, a deep learning-based polymorphic receiver able to reconfigure itself in real time based on the inferred waveform parameters.
Francesco Restuccia, Tommaso Melodia From Communications of the ACM | September 2022
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...Hsuan-Chi Kuo, Jianyan Chen, Sibin Mohan, Tianyin Xu From Communications of the ACM | May 2022