Two EECS papers win 2019 ACM SIGPLAN Distinguished Paper Awards

Two papers co-authored by Berkeley EECS authors won ACM SIGPLAN Distinguished Paper Awards at the Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) 2019.  "Duet: An Expressive Higher-Order Language and Linear Type System for Statically Enforcing Differential Privacy" co-authored by Prof. Dawn Song (Ph.D. '02, advisor: Doug Tygar), graduate student Lun Wang, undergraduate researcher Pranav Gaddamadugu, and alumni Neel Somani (CS B.A.  '19), Nikhil Sharma (EECS B.S. '18/M.S. '19),  and Alex Shan (CS B.A. '18), along with researchers in Vermont and Utah, and "Aroma: Code Recommendation via Structural Code Search" co-authored by Prof. Koushik Sen (along with authors at Facebook and UC Irvine), won two of the five honors awarded at the top programming language conference, part of the ACG SIGPLAN conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH) in October.  

Ren Ng weighs in on why your photos are about to get a lot better

CS Prof. Ren Ng is quoted in a New York Times article titled "The Reason Your Photos Are About to Get a Lot Better."  The article describes how computational photography is driving the future of phone cameras.  “Most photos you take these days are not a photo where you click the photo and get one shot,” said Ng. “These days it takes a burst of images and computes all of that data into a final photograph.”  He and his students are researching new techniques in computational photography, like applying portrait-mode effects to videos.  One type of effect could be to set the recorded footage to automatically focus on whomever is speaking.  “These are examples of capabilities that are completely new and emerging in research that could completely change what we think of that’s possible,” said Ng.

Berkeley EECS well represented at Tapia 2019

An outstanding group of students, faculty, staff, and alumni, represented Berkeley EECS at the 2019 ACM Richard Tapia Celebration of Diversity in Computing, which took place in San Diego in September.  Attendees included:  Profs. Dan Garcia and Armando Fox;  staff Audrey Sillers, Antoine Davis, and Sheila Humphreys; alumni Valerie Taylor (Ph.D. '91, advisor David Messerschmitt), Jeff Forbes (Ph.D. '02, advisor: Stuart Russell), Hakim Weatherspoon (Ph.D. '06, advisor: John Kubiatowicz), Colleen Lewis (EECS B.S. '05/CS M.S. '09), Jorge Ortiz (Ph.D. '13, advisor: David Culler), and Beth Trushkowsky (Ph.D. '14, advisor: Armando Fox); and a cadre of current graduate and undergraduate students.  Former EECS Prof. Jennifer Mankoff, who is now at the University of Washington, was a keynote speaker.

Alvin Kao and Titan Yuan honored as Siebel Scholars

5th Year CS Master's students Alvin Kao (B.S. '19)  and Titan Yuan (B.S. '19) have been named to the Siebel Scholars Foundation’s 2020 class.  Kao is working on problems in the autonomous vehicle setting, like predicting the behavior of other agents and trajectory planning.  Yuan is working with the Swarm Lab on embedded software for some of the world’s tiniest wireless devices, so that they can be used as miniature temperature sensors and Bluetooth beacons.

Francesca Giardine to participate in REU Symposium

Research conducted by EECS SUPERB-CISE participant Francesca Giardine will be presented at the Research Experiences for Undergraduates (REU) Symposium in Alexandria, VA in October.  Giardine's project, "Sustainable Energy and Localized Future (SELF) Dataset Development," supervised by Dan Kammen (ERG), describes the development of a database containing infrastructure information about under-resourced communities in the San Joaquin Valley that will help to determine which new resources should be provided to which areas.  The goal of the EECS Summer Undergraduate Program in Engineering Research at Berkeley (SUPERB) Computer and Information Science and Engineering (CISE) program is to prepare and motivate diverse, competitive candidates for graduate study.  The symposium is sponsored by the Council on Undergraduate Research (CUR).

Campus Memorial to honor six from EECS community

The Berkeley Campus Memorial, which will be held on Tuesday, September 10, from 12 noon to 1 pm, will honor 6 members of the EECS community who died this year:  alumna and ICSI member Sally Floyd (M.S. '87/Ph.D. '89, advisor: Richard Karp),  alumnus and EECS faculty-in-residence/advisor to CITRIS Jean Paul Jacob (MS '65/PhD '66, advisor: Elijah Polak),  EECS and Mathematics Prof. Emeritus Elwyn Berlekamp, EECS and Biophysics Prof. Emeritus Jerome Singer, BWRC staff Tom Boot, and CS undergraduate student Daniel Leahy.  The memorial gathering will be held at the flagpole west of California Hall.

EECS students, postdocs, alumni and faculty make strong showing at 2019 USENIX Security Symposium

EECS students, postdocs, alumni, and faculty were front and center at the 28th USENIX Security Symposium in Santa Clara last week.  In addition to the Test of Time and Distinguished Paper Awards (see below), Keynote Speaker Alex Stamos (B.S. '01), previously the Chief Security Officer of Facebook, highlighted the threat model work of current ICSI postdoc Alisa Frik (advisor: Serge Egelman).  Alumnus Nicholas Carlini (Ph.D. '18, advisor: David Wagner) gave a talk on his neural networks research which was co-authored by CS Prof. Dawn Song and postdoc Chang Liu.  ICSI researchers Primal Wijesekera and Serge Egelman, and former ICSI postdoc Joel Reardon, were awarded a Distinguished Paper Award for "50 Ways to Leak Your Data: An Exploration of Apps' Circumvention of the Android Permissions System." Grad students Frank Li (advisor: Vern Paxson) and Nathan Malkin (advisors: Serge Egelman and David Wagner), received a Distinguished Paper award at the SOUPS '19 technical session for "Keepers of the Machines: Examining How System Administrators Manage Software Updates For Multiple Machines." The Zip Bomb research of alumnus David Fifield (Ph.D. '17, advisor: Doug Tygar) was also awarded a Best Paper award at the WOOT '19 technical session.

Two CS grad students, co-advised by David Culler and Raluca Popa, also made presentations.  Sam Kumar presented "JEDI: Many-to-Many End-to-End Encryption and Key Delegation for IoT" and Michael P. Andersen presented "WAVE: A Decentralized Authorization Framework with Transitive Delegation."

Grant Ho, Vern Paxson, and David Wagner win USENIX Security Symposium Distinguished Paper Award

Graduate student Grant Ho and his co-advisors Profs. Vern Paxson and David Wagner, were honored with a Distinguished Paper Award at the 2019 USENIX Security Symposium for "Detecting and Characterizing Lateral Phishing at Scale".  In the paper, they presented "the first large-scale characterization of lateral phishing attacks, based on a dataset of 113 million employee-sent emails from 92 enterprise organizations."  Ho, Paxson, and Wagner previously won the same award at the 2017 USENIX Security Symposium for their paper "Detecting Credential Spearphishing Attacks in Enterprise Settings."

GauGAN AI art tool wins two major awards at SIGGRAPH 2019 Real-Time Live Competition

A viral real-time AI art application, co-created by three current and former graduate students of CS Prof. Alexei Efros, has won two coveted awards--Best in Show and Audience Choice--at the SIGGRAPH 2019 Real-Time Live Competition.  The interactive application, called GauGAN, was co-created by Ph.D. candidate Taesung Park during a summer internship at NVIDIA, along with alumni and NVIDIA researchers Jun-Yan Zhu (Ph.D. '17,  ACM SIGGRAPH Outstanding Doctoral Disseration winner) and Ting-Chun Wang (Ph.D. '17), as well as NVIDIAs Ming-Yu Liu.  GauGAN is the first semantic image synthesis model that can turn rough sketches into stunning, photorealistic landscape scenes.

Shruti Agarwal and Hany Farid use facial quirks to unmask ‘deepfakes’

CS graduate student Shruti Agarwal and her thesis advisor Prof. Hany Farid have created a new weapon in the war against "deepfakes," the hyper-realistic AI-generated videos of people appearing to say and do things they never actually said or did.  The new forensic technique, which uses the subtle characteristics of how a person speaks to recognize whether a new video of that individual is real, was presented this week at the Computer Vision and Pattern Recognition conference in Long Beach.  “The basic idea is we can build these soft biometric models of various world leaders, such as 2020 presidential candidates," said Farid, "and then as the videos start to break, for example, we can analyze them and try to determine if we think they are real or not.”