Room: SEH B1220/1270 Lehman Auditorium
	
	23:00
  	
  	
Welcome! (coffee and chat)
  	
	
	23:30
    
    
Opening Remarks
    
    
    0:00 (July 19)
    
    
Keynote: From Party App to Pentagon Sniffer: Tracing the Commercial-to-Government Data Pipeline
    Byron Tau, Associated Press
    
    0:00–1:20
    Abstract:
    This talk examines the technical and business mechanisms through which consumer applications become nodes in government surveillance networks, using the case study of X-Mode Social (formerly Drunk Mode). Through detailed analysis of SDK integration, data flows, and commercial relationships, we trace how a University of Virginia student's party safety app evolved into a collection platform for the Defense Department.
    The presentation reveals the surveillance supply chain architecture: how Software Development Kits (SDKs) embedded in hundreds of consumer apps create a distributed sensing network capable of collecting location data, Bluetooth identifiers, and wireless signals from millions of devices daily. We examine the technical capabilities that transform smartphones into persistent surveillance tools, the business incentives driving app developers to integrate data collection SDKs, and the regulatory gaps that enable these arrangements.
	Bio: Byron Tau is an author and
	journalist. He’s currently an investigative reporter in the Washington,
	D.C. bureau of the Associated Press, where he focuses on reporting stories
	about national security, law enforcement, technology and government
	accountability. He previously worked at The Wall Street Journal, NOTUS and
	Politico. With over 15 years of experience in Washington, Byron has covered
	numerous beats across all three branches of the federal government.
	
    
    1:20 (July 19)
    
    
Break
    
	1:35 (July 19)
    
    
Session A
    1:35–2:35
	Anonymity, Consent, and Other Noble Lies:
   An Exploration of the Data Economy
    Serge Egelman (UC Berkeley)
	Showcasing privacy loss through Amazon purchases
	and a call for radical cooperation to stop it
	Dana Calacci (Penn State University), Alex Berke
	(MIT)
	
	
    2:35 (July 19)
    
	
    4:00 (July 19)
    
    
Session B
	4:00–5:10
	Private computation for public policy:
	prescription drug surveillance as a case study
	Tomo Lazovich (School of Law, Northeastern
	University), Leo Beletsky (School of Law, Northeastern University),
	Glencora Borradaile (School of Electrical Engineering and Computer Science,
	Oregon State University)
	PETS Community Report-Back: Facing New (and Old)
	Challenges
    Anna Harbluk Lorimer (University of Chicago)
    
    
    5:10 (July 19)
    
    
Ice Cream!
    
    
    5:40 (July 19)
    
    
Session C
    5:40-7:10
	In LLMs We Trust? A Contextual Integrity
	Perspective
	Yan Shvartzshnaider (York University), Vasisht Duddu
	(University of Waterloo)
	Towards equitable PETs: A call to action for
	representative and open datasets with a browser fingerprinting case
	study
	Alex Berke (MIT), Enrico Bacis (Google), Umar Syed
	(Google), Robin Lassonde (Google)
	Reframing AI Alignment in terms of Censorship and
	Privacy
	Mohamed Ahmed (Citizen Lab, University of
	Toronto)
    
    
    7:10 (July 19)
    
    
Voting for Best HotPETs Talk
    
    
    7:30 (July 19)
    
    
Closing Remarks and Award