Michael Carl Tschantz

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 30

Top Topics

Targeted Advertising

Utility Function

Machine Learning

Trinocular Stereo

Top Venues

IEEE Symposium on Security and Privacy

Publications

Nitin Kohli, Michael Carl Tschantz
Using Participants' Utility Functions to Compare Versions of Differential Privacy. CoRR (2023)
Michael Carl Tschantz
What is Proxy Discrimination? FAccT (2022)
Michael Carl Tschantz
What is Proxy Discrimination? CoRR (2022)
Samuel Yeom, Michael Carl Tschantz
Avoiding Disparity Amplification under Different Worldviews. FAccT (2021)
Sebastian Benthall, Michael Carl Tschantz, Erez Hatna, Joshua M. Epstein, Katherine J. Strandburg
At the Boundary of Law and Software: Toward Regulatory Design with Agent-Based Modeling. AMPM@JURIX (2021)
Min Kyung Lee, Nina Grgic-Hlaca, Michael Carl Tschantz, Reuben Binns, Adrian Weller, Michelle Carney, Kori Inkpen
Human-Centered Approaches to Fair and Responsible AI. CHI Extended Abstracts (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Human Comprehension of Fairness in Machine Learning. AIES (2020)
Milad Nasr, Michael Carl Tschantz
Bidding strategies with gender nondiscrimination constraints for online ad auctions. FAT* (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. ICML (2020)
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz
Human Comprehension of Fairness in Machine Learning. CoRR (2020)
Michael Carl Tschantz, Shayak Sen, Anupam Datta
SoK: Differential Privacy as a Causal Property. IEEE Symposium on Security and Privacy (2020)
Meisam Navaki Arefi, Rajkumar Pandi, Michael Carl Tschantz, Jedidiah R. Crandall, King-wa Fu, Dahlia Qiu Shi, Miao Sha
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics. CoRR (2019)
Amit Datta, Jianan Lu, Michael Carl Tschantz
Evaluating Anti-Fingerprinting Privacy Enhancing Technologies. WWW (2019)
Milad Nasr, Michael Carl Tschantz
Bidding Strategies with Gender Nondiscrimination: Constraints for Online Ad Auctions. CoRR (2019)
Sadia Afroz, Mobin Javed, Vern Paxson, Shoaib Asif Qazi, Shaarif Sajid, Michael Carl Tschantz
A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability. CoRR (2018)
Amit Datta, Anupam Datta, Jael Makagon, Deirdre K. Mulligan, Michael Carl Tschantz
Discrimination in Online Personalization: A Multidisciplinary Inquiry. FAT (2018)
Michael Carl Tschantz, Sadia Afroz, Shaarif Sajid, Shoaib Asif Qazi, Mobin Javed, Vern Paxson
A Bestiary of Blocking: The Motivations and Modes behind Website Unavailability. FOCI @ USENIX Security Symposium (2018)
Anupam Datta, Shayak Sen, Michael Carl Tschantz
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together. CoRR (2018)
Jaeyoung Choi, Istemi Ekin Akkus, Serge Egelman, Gerald Friedland, Robin Sommer, Michael Carl Tschantz, Nicholas Weaver
Cybercasing 2.0: You Get What You Pay For. CoRR (2018)
Rachee Singh, Rishab Nithyanand, Sadia Afroz, Paul Pearce, Michael Carl Tschantz, Phillipa Gill, Vern Paxson
Characterizing the Nature and Dynamics of Tor Exit Blocking. ANRW (2018)
Sadia Afroz, Michael Carl Tschantz, Shaarif Sajid, Shoaib Asif Qazi, Mobin Javed, Vern Paxson
Exploring Server-side Blocking of Regions. CoRR (2018)
Amit Datta, Jianan Lu, Michael Carl Tschantz
The Effectiveness of Privacy Enhancing Technologies against Fingerprinting. CoRR (2018)
Michael Carl Tschantz, Serge Egelman, Jaeyoung Choi, Nicholas Weaver, Gerald Friedland
The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. CoRR (2018)
Michael Carl Tschantz, Serge Egelman, Jaeyoung Choi, Nicholas Weaver, Gerald Friedland
The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. WPES@CCS (2018)
Samuel Yeom, Michael Carl Tschantz
Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews. CoRR (2018)
Angelisa C. Plane, Elissa M. Redmiles, Michelle L. Mazurek, Michael Carl Tschantz
Exploring User Perceptions of Discrimination in Online Targeted Advertising. USENIX Security Symposium (2017)
Rachee Singh, Rishab Nithyanand, Sadia Afroz, Paul Pearce, Michael Carl Tschantz, Phillipa Gill, Vern Paxson
Characterizing the Nature and Dynamics of Tor Exit Blocking. USENIX Security Symposium (2017)
Michael Carl Tschantz, Shayak Sen, Anupam Datta
Differential Privacy as a Causal Property. CoRR (2017)
Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar
Reviewer Integration and Performance Measurement for Malware Detection. DIMVA (2016)
Michael Carl Tschantz, Sadia Afroz, anonymous, Vern Paxson
SoK: Towards Grounding Censorship Circumvention in Empiricism. IEEE Symposium on Security and Privacy (2016)
Brad Miller, Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Rekha Bachwani, Riyaz Faizullabhoy, Ling Huang, Vaishaal Shankar, Tony Wu, George Yiu, Anthony D. Joseph, J. D. Tygar
Back to the Future: Malware Detection with Temporally Consistent Labels. CoRR (2015)
Michael Carl Tschantz, Amit Datta, Anupam Datta, Jeannette M. Wing
A Methodology for Information Flow Experiments. CSF (2015)
Amit Datta, Michael Carl Tschantz, Anupam Datta
Automated Experiments on Ad Privacy Settings. Proc. Priv. Enhancing Technol. 2015 (1) (2015)
Alex Kantchelian, Michael Carl Tschantz, Sadia Afroz, Brad Miller, Vaishaal Shankar, Rekha Bachwani, Anthony D. Joseph, J. Doug Tygar
Better Malware Ground Truth: Techniques for Weighting Anti-Virus Vendor Labels. AISec@CCS (2015)
Michael Carl Tschantz, Amit Datta, Anupam Datta, Jeannette M. Wing
A Methodology for Information Flow Experiments. CoRR (2014)
Amit Datta, Michael Carl Tschantz, Anupam Datta
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination. CoRR (2014)
Michael Carl Tschantz, Sadia Afroz, Vern Paxson, J. Doug Tygar
On Modeling the Costs of Censorship. CoRR (2014)
Alex Kantchelian, Michael Carl Tschantz, Ling Huang, Peter L. Bartlett, Anthony D. Joseph, J. Doug Tygar
Large-Margin Convex Polytope Machine. NIPS (2014)
Brad Miller, Alex Kantchelian, Sadia Afroz, Rekha Bachwani, Edwin Dauber, Ling Huang, Michael Carl Tschantz, Anthony D. Joseph, J. Doug Tygar
Adversarial Active Learning. AISec@CCS (2014)
Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar
Approaches to adversarial drift. AISec (2013)
Michael Carl Tschantz, Anupam Datta, Jeannette M. Wing
Purpose Restrictions on Information Use. ESORICS (2013)
Michael Carl Tschantz, Anupam Datta, Jeannette M. Wing
Formalizing and Enforcing Purpose Restrictions in Privacy Policies. IEEE Symposium on Security and Privacy (2012)
Michael Carl Tschantz, Dilsun Kirli Kaynar, Anupam Datta
Formal Verification of Differential Privacy for Interactive Systems (Extended Abstract). MFPS (2011)
Michael Carl Tschantz, Anupam Datta, Jeannette M. Wing
On the Semantics of Purpose Requirements in Privacy Policies CoRR (2011)
Michael Carl Tschantz, Dilsun Kirli Kaynar, Anupam Datta
Formal Verification of Differential Privacy for Interactive Systems CoRR (2011)
Michael Carl Tschantz, Jeannette M. Wing
Formal Methods for Privacy. FM (2009)
Michael Carl Tschantz, Jeannette M. Wing
Extracting Conditional Confidentiality Policies. SEFM (2008)
Michael Carl Tschantz, Shriram Krishnamurthi
Towards reasonability properties for access-control policy languages. SACMAT (2006)
Amy Greenwald, Bryan Guillemette, Victor Naroditskiy, Michael Carl Tschantz
Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents. AMEC@AAMAS/TADA@IJCAI (2005)
Kathi Fisler, Shriram Krishnamurthi, Leo A. Meyerovich, Michael Carl Tschantz
Verification and change-impact analysis of access-control policies. ICSE (2005)
Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, Michael Carl Tschantz
Botticelli: a supply chain management agent designed to optimize under uncertainty. SIGecom Exch. 4 (3) (2004)
Michael Benisch, Amy Greenwald, Ioanna Grypari, Roger Lederman, Victor Naroditskiy, Michael Carl Tschantz
Botticelli: A Supply Chain Management Agent. AAMAS (2004)
Michael Benisch, Amy Greenwald, Victor Naroditskiy, Michael Carl Tschantz
A stochastic programming approach to scheduling in TAC SCM. EC (2004)