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Scott Alfeld
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2020 – today
- 2024
- [j1]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. ACM Trans. Knowl. Discov. Data 18(2): 35:1-35:42 (2024) - [c18]Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. WACV 2024: 8301-8310 - 2023
- [c17]Ara Vartanian, Will Rosenbaum, Scott Alfeld:
Training-Time Attacks against K-nearest Neighbors. AAAI 2023: 10053-10060 - [c16]Zhifeng Kong, Scott Alfeld:
Approximate Data Deletion in Generative Models. ECAI 2023: 1288-1323 - [i14]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Defense Against Shortest Path Attacks. CoRR abs/2305.19083 (2023) - 2022
- [c15]Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld:
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. AAAI 2022: 7691-7700 - [i13]Zhifeng Kong, Scott Alfeld:
Approximate Data Deletion in Generative Models. CoRR abs/2206.14439 (2022) - [i12]Ara Vartanian, Will Rosenbaum, Scott Alfeld:
Training-Time Attacks against k-Nearest Neighbors. CoRR abs/2208.07272 (2022) - [i11]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Attacking Shortest Paths by Cutting Edges. CoRR abs/2211.11141 (2022) - [i10]Anindya Sarkar, Michael Lanier, Scott Alfeld, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik:
A Visual Active Search Framework for Geospatial Exploration. CoRR abs/2211.15788 (2022) - 2021
- [c14]David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. AIES 2021: 745-755 - [c13]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. ECML/PKDD (2) 2021: 532-547 - [c12]Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM 2021: 154-162 - [i9]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
PATHATTACK: Attacking Shortest Paths in Complex Networks. CoRR abs/2104.03761 (2021) - [i8]David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld:
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity. CoRR abs/2104.03909 (2021) - [i7]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Optimal Edge Weight Perturbations to Attack Shortest Paths. CoRR abs/2107.03347 (2021) - [i6]Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld:
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. CoRR abs/2109.08266 (2021) - 2020
- [i5]Sixie Yu, Leonardo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
Optimizing Graph Structure for Targeted Diffusion. CoRR abs/2008.05589 (2020)
2010 – 2019
- 2019
- [c11]Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I. P. Rubinstein:
Attacking Data Transforming Learners at Training Time. AAAI 2019: 3167-3174 - 2018
- [c10]Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld:
Adversarial Classification on Social Networks. AAMAS 2018: 211-219 - [c9]Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu:
Training Set Camouflage. GameSec 2018: 59-79 - [c8]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. ICML 2018: 4953-4961 - [i4]Sixie Yu, Yevgeniy Vorobeychik, Scott Alfeld:
Adversarial Classification on Social Networks. CoRR abs/1801.08159 (2018) - [i3]Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik:
Adversarial Regression with Multiple Learners. CoRR abs/1806.02256 (2018) - [i2]Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu:
Training Set Camouflage. CoRR abs/1812.05725 (2018) - 2017
- [c7]Scott Alfeld, Xiaojin Zhu, Paul Barford:
Explicit Defense Actions Against Test-Set Attacks. AAAI 2017: 1274-1280 - 2016
- [c6]Scott Alfeld, Xiaojin Zhu, Paul Barford:
Data Poisoning Attacks against Autoregressive Models. AAAI 2016: 1452-1458 - [c5]Aaron Cahn, Scott Alfeld, Paul Barford, S. Muthukrishnan:
What's in the community cookie jar? ASONAM 2016: 567-570 - [c4]Scott Alfeld, Xiaojin Zhu, Paul Barford:
Machine Teaching as Search. SOCS 2016: 117-118 - [c3]Aaron Cahn, Scott Alfeld, Paul Barford, S. Muthukrishnan:
An Empirical Study of Web Cookies. WWW 2016: 891-901 - 2015
- [c2]Matthew L. Malloy, Scott Alfeld, Paul Barford:
Contamination estimation via convex relaxations. ISIT 2015: 1189-1193 - [i1]Matthew L. Malloy, Scott Alfeld, Paul Barford:
Contamination Estimation via Convex Relaxations. CoRR abs/1506.04257 (2015) - 2012
- [c1]Scott Alfeld, Carol Barford, Paul Barford:
Toward an analytic framework for the electrical power grid. e-Energy 2012: 9
Coauthor Index
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