Scott Alfeld

According to our database, Scott Alfeld authored at least 23 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attacking Shortest Paths by Cutting Edges.

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld

ACM Trans. Knowl. Discov. Data, February, 2024

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Defense Against Shortest Path Attacks.

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld

CoRR, 2023

Approximate Data Deletion in Generative Models.

Zhifeng Kong, Scott Alfeld

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Training-Time Attacks against K-nearest Neighbors.

Ara Vartanian, Will Rosenbaum, Scott Alfeld

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Visual Active Search Framework for Geospatial Exploration.

Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

CoRR, 2022

Hard to Forget: Poisoning Attacks on Certified Machine Unlearning.

Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Optimal Edge Weight Perturbations to Attack Shortest Paths.

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld

CoRR, 2021

POTION : Optimizing Graph Structure for Targeted Diffusion.

Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

PATHATTACK: Attacking Shortest Paths in Complex Networks.

Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity.

David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Optimizing Graph Structure for Targeted Diffusion.

Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik

CoRR, 2020

2019

Attacking Data Transforming Learners at Training Time.

Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adversarial Regression with Multiple Learners.

Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik

Proceedings of the 35th International Conference on Machine Learning, 2018

Training Set Camouflage.

Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

Adversarial Classification on Social Networks.

Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Explicit Defense Actions Against Test-Set Attacks.

Scott Alfeld, Xiaojin Zhu, Paul Barford

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An Empirical Study of Web Cookies.

Aaron Cahn, Scott Alfeld, Paul Barford, S. Muthukrishnan

Proceedings of the 25th International Conference on World Wide Web, 2016

Machine Teaching as Search.

Scott Alfeld, Xiaojin Zhu, Paul Barford

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

What's in the community cookie jar?

Aaron Cahn, Scott Alfeld, Paul Barford, S. Muthukrishnan

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Data Poisoning Attacks against Autoregressive Models.

Scott Alfeld, Xiaojin Zhu, Paul Barford

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Contamination estimation via convex relaxations.

Matthew L. Malloy, Scott Alfeld, Paul Barford

Proceedings of the IEEE International Symposium on Information Theory, 2015

2012

Toward an analytic framework for the electrical power grid.

Scott Alfeld, Carol Barford, Paul Barford

Proceedings of the 3rd International Conference on Energy-Efficient Computing and Networking, 2012