IU Security and Privacy in Informatics, Computing, and Engineering

IU Security and Privacy in Informatics, Computing, and Engineering

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Photos from IU Luddy School of Informatics, Computing, and Engineering's post 11/07/2023
03/27/2023

Luddy School professors Alessandro Flammini, XiaoFeng Wang, and Fil Menczer have made AI 2000 Most Influential Scholar’s 2023 list as among the world's top Artificial Intelligence researchers.

Learn more about their accomplishments: https://bit.ly/42Nhowr

08/03/2022

Summer Spotlight! Meet Ece Gumusel, a Ph.D. student in information science, who spent her summer as a privacy analyst and engineer grad intern at MITRE, where she collaborated with the National Institute of Standards and Technology’s National Cybersecurity Center of Excellence to improve NIST Privacy Framework.

Her favorite part? Working with government sponsors to analyze the upcoming federal privacy law (the American Data Privacy Protection Law). As the only privacy intern, she was able to show the difference between privacy and security.

Luddy team takes home second place in HackIN 2021 competition 10/15/2021

Luddy team takes home second place in HackIN 2021 competition A team of students from the Luddy School of Informatics, Computing, and Engineering earned second-place honors during HackIN 2021, a two-day, capture-the-flag hackathon in Carmel, Indiana, Oct. 9-10.

Could Apple's child safety feature backfire? New research shows warnings can increase risky sharing 09/28/2021

Could Apple's child safety feature backfire? New research shows warnings can increase risky sharing Studies about warning labels aimed at protecting privacy raise red flags about Apple’s efforts to keep kids from sharing sexually explicit material.

Lots of visible likes and shares on social lead people to spread more misinformation 09/02/2020

Luddy professor Sameer Patil’s work in social media misinformation is in NiemanLab news. Part of an international group of researchers, Patil's work shows the effect that engagement numbers has on increased sharing and decreased fact checking. Read more:

Lots of visible likes and shares on social lead people to spread more misinformation When people saw that a questionable piece of content had been liked and shared lots of times, they were more likely to share it themselves

Black Hat USA 2020 08/06/2020

Today graduate researcher Vafa Andalibi gives his Black Hat 2020 presentation on using MUD-Visualizer to protect IoT devices and networks by isolating IoT device before they can cause damage or be misused. See his talk at 4:00pm EST!

Black Hat USA 2020 Black Hat USA 2020

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