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2020 – today
- 2024
[j40]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)- [c175]Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu:
Providing Fair Recourse over Plausible Groups. AAAI 2024: 21753-21760 - [c174]Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao:
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. ACL (1) 2024: 2551-2570 - [c173]Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka:
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. AAMAS 2024: 508-515 - [c172]Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik:
Geospatial Active Search for Preventing Evictions. AAMAS 2024: 2456-2458 - [c171]James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. PSD 2024: 67-83 - [c170]Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik:
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. SP (Workshops) 2024: 57-67 - [c169]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 - [i114]Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik:
Preference Poisoning Attacks on Reward Model Learning. CoRR abs/2402.01920 (2024) - [i113]Shivam Bajaj, Pranoy Das, Yevgeniy Vorobeychik, Vijay Gupta:
Rationality of Learning Algorithms in Repeated Normal-Form Games. CoRR abs/2402.08747 (2024) - [i112]Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik:
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR abs/2402.09290 (2024) - [i111]Ying Xu, Michael Lanier, Anindya Sarkar, Yevgeniy Vorobeychik:
Attacks on Node Attributes in Graph Neural Networks. CoRR abs/2402.12426 (2024) - [i110]Luise Ge, Brendan Juba, Yevgeniy Vorobeychik:
Learning Linear Utility Functions From Pairwise Comparison Queries. CoRR abs/2405.02612 (2024) - [i109]Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu:
Axioms for AI Alignment from Human Feedback. CoRR abs/2405.14758 (2024) - [i108]Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik:
Verified Safe Reinforcement Learning for Neural Network Dynamic Models. CoRR abs/2405.15994 (2024) - [i107]Tao Zhang, Rajagopal Venkatesaramani, Rajat K. De, Bradley A. Malin, Yevgeniy Vorobeychik:
A Game-Theoretic Approach to Privacy-Utility Tradeoff in Sharing Genomic Summary Statistics. CoRR abs/2406.01811 (2024) - [i106]Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik:
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR abs/2406.01917 (2024) - [i105]Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu:
Adversarial Machine Unlearning. CoRR abs/2406.07687 (2024) - [i104]Victor A. Borza, Andrew Estornell, Chien-Ju Ho, Bradley A. Malin, Yevgeniy Vorobeychik:
Dataset Representativeness and Downstream Task Fairness. CoRR abs/2407.00170 (2024) - [i103]Victor A. Borza, Andrew Estornell, Ellen Wright Clayton, Chien-Ju Ho, Russell Rothman, Yevgeniy Vorobeychik, Bradley A. Malin:
Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets. CoRR abs/2408.01375 (2024) - [i102]Tao Zhang, Bradley A. Malin, Netanel Raviv, Yevgeniy Vorobeychik:
Confounding Privacy and Inverse Composition. CoRR abs/2408.12010 (2024) - 2023
- [j39]Greg Leo, Yevgeniy Vorobeychik, Myrna Wooders:
Subgame Perfect Coalition Formation. Dyn. Games Appl. 13(2): 510-524 (2023) - [j38]Weiyi Xia, Melissa A. Basford, Robert J. Carroll, Ellen Wright Clayton, Paul A. Harris, Murat Kantarcioglu, Yongtai Liu, Steve Nyemba, Yevgeniy Vorobeychik, Zhiyu Wan, Bradley A. Malin:
Managing re-identification risks while providing access to the All of Us research program. J. Am. Medical Informatics Assoc. 30(5): 907-914 (2023) - [j37]Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik:
Defending Against Membership Inference Attacks on Beacon Services. ACM Trans. Priv. Secur. 26(3): 42:1-42:32 (2023) - [j36]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Tomasz P. Michalak, Talal Rahwan:
Hiding From Centrality Measures: A Stackelberg Game Perspective. IEEE Trans. Knowl. Data Eng. 35(10): 10058-10071 (2023) - [c168]Andrew Estornell, Sanmay Das, Brendan Juba, Yevgeniy Vorobeychik:
Popularizing Fairness: Group Fairness and Individual Welfare. AAAI 2023: 7485-7493 - [c167]Yevgeniy Vorobeychik:
The Many Faces of Adversarial Machine Learning. AAAI 2023: 15402-15409 - [c166]Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik:
Eroding Trust in Aerial Imagery: Comprehensive Analysis and Evaluation of Adversarial Attacks in Geospatial Systems. AIPR 2023: 1-13 - [c165]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. ICAPS 2023: 227-235 - [c164]Jinghan Yang, Hunmin Kim, Wenbin Wan, Naira Hovakimyan, Yevgeniy Vorobeychik:
Certified Robust Control under Adversarial Perturbations. ACC 2023: 4090-4095 - [c163]Michal Tomasz Godziszewski, Yevgeniy Vorobeychik, Tomasz P. Michalak:
Adversarial Link Prediction in Spatial Networks. AAMAS 2023: 1817-1825 - [c162]Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, Yevgeniy Vorobeychik, Rajat K. De:
UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets. BIBM 2023: 594-601 - [c161]Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang:
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples. CVPR 2023: 5146-5155 - [c160]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Group-Fair Classification with Strategic Agents. FAccT 2023: 389-399 - [c159]Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, Charles A. Kamhoua:
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. FLAIRS 2023 - [c158]Connor Douglas, Everett Witt, Mia Bendy, Yevgeniy Vorobeychik:
Computing an Optimal Pitching Strategy in a Baseball At-Bat. FLAIRS 2023 - [c157]Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao:
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. ICML 2023: 40373-40389 - [c156]Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Incentivizing Recourse through Auditing in Strategic Classification. IJCAI 2023: 400-408 - [c155]Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik:
Neural Lyapunov Control for Discrete-Time Systems. NeurIPS 2023 - [c154]Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. NeurIPS 2023 - [c153]Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark:
Exact Verification of ReLU Neural Control Barrier Functions. NeurIPS 2023 - [e2]Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao:
Distributed Artificial Intelligence - 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13824, Springer 2023, ISBN 978-3-031-25548-9 [contents] - [i101]Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik:
Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. CoRR abs/2302.01763 (2023) - [i100]Jinghan Yang, Hunmin Kim, Wenbin Wan, Naira Hovakimyan, Yevgeniy Vorobeychik:
Certified Robust Control under Adversarial Perturbations. CoRR abs/2302.02208 (2023) - [i99]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. CoRR abs/2303.14332 (2023) - [i98]Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, Charles A. Kamhoua:
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. CoRR abs/2305.00925 (2023) - [i97]Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik:
Neural Lyapunov Control for Discrete-Time Systems. CoRR abs/2305.06547 (2023) - [i96]Benjamin A. Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad, Scott Alfeld:
Defense Against Shortest Path Attacks. CoRR abs/2305.19083 (2023) - [i95]Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou:
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. CoRR abs/2307.12555 (2023) - [i94]Jun Wang, Jiaming Tong, Kaiyuan Tan, Yevgeniy Vorobeychik, Yiannis Kantaros:
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help. CoRR abs/2309.10092 (2023) - [i93]Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark:
Exact Verification of ReLU Neural Control Barrier Functions. CoRR abs/2310.09360 (2023) - [i92]Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik:
A Partially Supervised Reinforcement Learning Framework for Visual Active Search. CoRR abs/2310.09689 (2023) - [i91]Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao:
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR abs/2311.09641 (2023) - [i90]Michael Lanier, Aayush Dhakal, Zhexiao Xiong, Arthur Li, Nathan Jacobs, Yevgeniy Vorobeychik:
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. CoRR abs/2312.07389 (2023) - [i89]Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka:
Hierarchical Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. CoRR abs/2312.14625 (2023) - 2022
- [c152]Victor A. Borza, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
A Representativeness-informed Model for Research Record Selection from Electronic Medical Record Systems. AMIA 2022 - [c151]Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, Ellen Wright Clayton, Bradley A. Malin:
A Scalable Tool for Realistic Health Data Re-identification Risk Assessment. AMIA 2022 - [c150]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. AAMAS 2022: 1001-1009 - [c149]Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang:
When Evil Calls: Targeted Adversarial Voice over IP Network. CCS 2022: 2009-2023 - [c148]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. GameSec 2022: 212-230 - [c147]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. ICLR 2022 - [c146]Junlin Wu, Yevgeniy Vorobeychik:
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. ICML 2022: 24177-24211 - [c145]Ashwin Kumar, Yevgeniy Vorobeychik, William Yeoh:
Improving Zonal Fairness While Maintaining Efficiency in Rideshare Matching. ATT@IJCAI 2022: 77-90 - [c144]Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik:
Manipulating Elections by Changing Voter Perceptions. IJCAI 2022: 557-563 - [c143]Amanda R. Kube, Sanmay Das, Patrick J. Fowler, Yevgeniy Vorobeychik:
Just Resource Allocation? How Algorithmic Predictions and Human Notions of Justice Interact. EC 2022: 1184-1242 - [c142]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving structured hierarchical games using differential backward induction. UAI 2022: 1107-1117 - [c141]Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik:
Learning binary multi-scale games on networks. UAI 2022: 2310-2319 - [c140]Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Adversarial Robustness of Deep Sensor Fusion Models. WACV 2022: 1371-1380 - [c139]Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik:
PROVES: Establishing Image Provenance using Semantic Signatures. WACV 2022: 3017-3026 - [i88]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. CoRR abs/2201.12408 (2022) - [i87]James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber:
Artificial Intelligence for Cyber Security (AICS). CoRR abs/2202.14010 (2022) - [i86]Jian Low, Chen Hajaj, Yevgeniy Vorobeychik:
A Rotating Proposer Mechanism for Team Formation. CoRR abs/2204.04251 (2022) - [i85]Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik:
Manipulating Elections by Changing Voter Perceptions. CoRR abs/2205.00102 (2022) - [i84]Junlin Wu, Yevgeniy Vorobeychik:
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. CoRR abs/2206.10057 (2022) - [i83]Anindya Sarkar, Jiarui Feng, Yevgeniy Vorobeychik, Christopher D. Gill, Ning Zhang:
Reward Delay Attacks on Deep Reinforcement Learning. CoRR abs/2209.03540 (2022) - [i82]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) - [i81]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) - [i80]Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik:
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. CoRR abs/2212.14115 (2022) - 2021
- [j35]Xintong Wang, Christopher Hoang, Yevgeniy Vorobeychik, Michael P. Wellman:
Spoofing the Limit Order Book: A Strategic Agent-Based Analysis. Games 12(2): 46 (2021) - [j34]Chen Hajaj, Zlatko Joveski, Sixie Yu, Yevgeniy Vorobeychik:
Robust coordination in adversarial social networks: From human behavior to agent-based modeling. Netw. Sci. 9(3): 255-290 (2021) - [c138]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Incentivizing Truthfulness Through Audits in Strategic Classification. AAAI 2021: 5347-5354 - [c137]Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. AAAI 2021: 5497-5505 - [c136]Yongtai Liu, Douglas Conway, Zhiyu Wan, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin:
De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering. AMIA 2021 - [c135]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. AAMAS 2021: 1389-1397 - [c134]Tarek F. Abdelzaher, Sanjoy K. Baruah, Chris Gill, Yevgeniy Vorobeychik, Ning Zhang, Xuan Zhang:
Research Challenges for Combined Autonomy, AI, and Real-Time Assurance. CogMI 2021: 163-167 - [c133]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR 2021: 13254-13263 - [c132]Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik:
Learning Generative Deception Strategies in Combinatorial Masking Games. GameSec 2021: 98-117 - [c131]Shanto Roy, Salah Uddin Kadir, Yevgeniy Vorobeychik, Aron Laszka:
Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. GameSec 2021: 271-290 - [c130]Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik:
Can Optical Trojans Assist Adversarial Perturbations? ICCVW 2021: 122-131 - [c129]Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik:
Enhancing Robustness of Neural Networks through Fourier Stabilization. ICML 2021: 8880-8889 - [c128]Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. IJCAI 2021: 493-499 - [c127]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 - [c126]Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik:
POTION : Optimizing Graph Structure for Targeted Diffusion. SDM 2021: 154-162 - [d1]Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik:
Re-identification of Individuals in Genomic Datasets Using Public Face Images. Zenodo, 2021
- [i79]Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. CoRR abs/2101.08314 (2021) - [i78]Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan, Tomasz P. Michalak:
Strategic Evasion of Centrality Measures. CoRR abs/2101.10648 (2021) - [i77]Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik:
Re-identification of Individuals in Genomic Datasets Using Public Face Images. CoRR abs/2102.08557 (2021) - [i76]Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik:
A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR abs/2102.10646 (2021) - [i75]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) - [i74]Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik:
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR abs/2104.04107 (2021) - [i73]Sixie Yu, David Kempe, Yevgeniy Vorobeychik:
Altruism Design in Networked Public Goods Games. CoRR abs/2105.00505 (2021) - [i72]Netanel Raviv, Aidan Kelley, Michael Guo, Yevgeniy Vorobeychik:
Enhancing Robustness of Neural Networks through Fourier Stabilization. CoRR abs/2106.04435 (2021) - [i71]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR abs/2106.04663 (2021) - [i70]Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li:
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. CoRR abs/2106.09292 (2021) - [i69]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) - [i68]Shanto Roy, Salah Uddin Kadir, Yevgeniy Vorobeychik, Aron Laszka:
Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. CoRR abs/2109.07724 (2021) - [i67]Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik:
Learning Generative Deception Strategies in Combinatorial Masking Games. CoRR abs/2109.11637 (2021) - [i66]Connor Douglas, Everett Witt, Mia Bendy, Yevgeniy Vorobeychik:
Computing an Optimal Pitching Strategy in a Baseball At-Bat. CoRR abs/2110.04321 (2021) - [i65]Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik:
PROVES: Establishing Image Provenance using Semantic Signatures. CoRR abs/2110.11411 (2021) - [i64]Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik:
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents. CoRR abs/2112.02746 (2021) - [i63]Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik:
Defending Against Membership Inference Attacks on Beacon Services. CoRR abs/2112.13301 (2021) - 2020
- [j33]Yi Li, Huahong Zhang, Camilo Bermudez, Yifan Chen, Bennett A. Landman, Yevgeniy Vorobeychik:
Anatomical context protects deep learning from adversarial perturbations in medical imaging. Neurocomputing 379: 370-378 (2020) - [j32]Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Attacking vision-based perception in end-to-end autonomous driving models. J. Syst. Archit. 110: 101766 (2020) - [c125]Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. AAAI 2020: 524-531 - [c124]Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik:
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning. AAAI 2020: 946-953 - [c123]Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik:
Computing Equilibria in Binary Networked Public Goods Games. AAAI 2020: 2310-2317 - [c122]Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Deception through Half-Truths. AAAI 2020: 10110-10117 - [c121]David Kempe, Sixie Yu, Yevgeniy Vorobeychik:
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. AAMAS 2020: 611-619 - [c120]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. AAMAS 2020: 1046-1054 - [c119]Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex X. Liu, Ting Wang:
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. CCS 2020: 85-99 - [c118]