Find us on
Upcoming Talks
 |
Samantha Ravich
Deputy Chair of the President's Intelligence Advisory Board
Thursday, September 27, 2018
4:30pm-6:00pm
Haldeman 41 (Kreindler Conference Hall)
|
Past Talks
 |
William Regli, Ph.D.
Director of the Institute for Systems Research at the Clark School of Engineering,
Professor of Computer Science at the University of Maryland at College Park
A New Type of Thinking
Friday, June 22, 2018
Life Sciences Center 105
11:00 AM
|
 |
Dr. Gautam Shroff
Vice President, Chief Scientist, and Head of Research at Tata Consultancy Services
Enterprise AI for Business 4.0: from Automation to Amplification
Thursday, June 07, 2018
Haldeman 041 Kreindler Conference Room
3:30 PM
|
 |
John P Dickerson
Assistant Professor, Department of Computer Science, University of Maryland
Using Optimization to Balance Fairness and Efficiency in Kidney Exchange
Monday, May 21st
Kemeny Hall 008
3:30 PM
|
 |
Jeanne Shaheen
U.S. Senator from New Hampshire
Russian Interference in American Politics and Cyber Threats to Our Democracy
Tuesday, February 20, 2018
Alumni Hall (Hopkins Center)
11:00 AM
|
 |
Lisa Monaco
Former Homeland Security Advisor to President Obama
In Conversation: Lisa Monaco, Fmr Homeland Security Advisor to President Obama
Tuesday, February 13, 2018
Filene Auditorium (Moore Building)
5:00 PM
Sponsored by The Dickey Center for International Understanding
|
 |
John Stewart
Sr. Technical Leader, Cyber Security, EPRI
Securing Grid Control Systems
Friday, January 12, 2018
Sudikoff L045 Trust Lab
12:00 Noon
|
 |
M. Todd Henderson
Professor of Law, University of Chicago
Hacking Trust: How the Social Technology of Cooperation Will Revolutionize Government
Thursday, January 11, 2018
5:00pm-6:30pm
Room 003, Rockefeller Center
Sponsored by: Rockefeller Center
|
 |
Dr. Elizabeth Bowman
U.S. Army Research Laboratory
Artificial Intelligence, Machine Learning and Information: Army Social Computing Research
Tuesday, December 5th
Haldeman 041 Kreindler Conference Room
4:00 PM
|
 |
Dr. Fabio Pierazzi
Royal Holloway University of London
Network Security Analytics for Detection of Advanced Cyberattacks
Tuesday, November 28th
Sudikoff Trust Lab (L045)
12:30 PM
|
 |
V.S. Subrahmanian
Dartmouth Distinguished Professor in Cybersecurity, Technology, and Society
Bots, Socks, and Vandals
Tuesday, November 14th
Carson L01
5:00 PM
|
 |
Rand Beers ('64)
Big Data, the Internet, and Social Media: The Road to the November 2016 Election
Wednesday, November 8th
Haldeman 41 (Kreindler Conference Hall)
4:30 PM
|
 |
Wanna See Something REALLY Scary?
ISTS Looks at the Dark Web on Halloween Night
Tuesday, October 31st
Sudikoff 045 Trust Lab (dungeon)
7:30 PM - RSVP
Space is Limited
|
 |
Salvatore J. Stolfo
Columbia University
A Brief History of Symbiote Defense
Tuesday, October 31st
Rockefeller 003
5:00 PM
|
ISTS Information Pamphlet
Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu
Detection of Digital Tampering
Project Summary
The rapid increase in low-cost and sophisticated digital technology has made it remarkably easy to manipulate digital audio, image, and video. Coupled with vague legal definition as to the admissibility of digital media into evidence, it is essential that we develop techniques for authenticating digital material. We propose to: 1. Develop novel statistical models that embody the characteristics of "natural" signals/images. 2. Use these models in the development of techniques for determining the authenticity of digital signals/images.
Steganography: we have finished the porting of the steganography detection code from MatLab to C++, have fully tested this code and are working with United Devices to run this code on a massively distributed system. The goal is to find web pages that have suspicious activity.
Computer Graphics or Natural: we completed work on a new technique to distinguish between computer graphics and natural photographs. This work may be helpful in combating purportedly computer-generated child pornography.
Digital Tampering: we have completed development of three novel techniques for detecting various forms of digital tampering.
Voice Authentication: we have preliminary results that show that some of our image-based work extends nicely to audio. Specifically, we have developed techniques for distinguishing between natural and computer generated voices, and are working on extending this work to authenticate speakers from unscripted text.
