Yang Liu
Yang Liu
Computer Science and Engineering, UC Santa Cruz
Verified email at ucsc.edu - Homepage
Title
Cited by
Cited by
Year
Actionable Recourse in Linear Classification
B Ustun, A Spangher, Y Liu
ACM Conference on Fairness, Accountability, and Transparency, 2018
1622018
Cloudy with a chance of breach: Forecasting cyber security incidents
Y Liu, A Sarabi, J Zhang, P Naghizadeh, M Karir, M Bailey, M Liu
24th USENIX Security Symposium, 1009-1024, 2015
1562015
An online learning approach to improving the quality of crowdsourcing
Y Liu, M Liu
ACM SIGMETRICS, 2015
682015
How do fairness definitions fare? Testing public attitudes towards three algorithmic definitions of fairness in loan allocations
NA Saxena, K Huang, E DeFilippis, G Radanovic, DC Parkes, Y Liu
Artificial Intelligence 283, 103238, 2020
67*2020
Calibrated Fairness in Bandits
Y Liu, G Radanovic, C Dimitrakakis, D Mandal, DC Parkes
ACM Conference on Fairness, Accountability, and Transparency in Machine Learning, 2017
642017
Rating network security posture and comparing network maliciousness
M Liu, M Bailey, M Karir, Y Liu, J Zhang
US Patent 10,038,703, 2018
632018
Peer loss functions: Learning from noisy labels without knowing noise rates
Y Liu, H Guo
International Conference on Machine Learning, 6226-6236, 2020
382020
Fairness without harm: Decoupled classifiers with preference guarantees
B Ustun, Y Liu, D Parkes
International Conference on Machine Learning, 6373-6382, 2019
352019
Machine-learning aided peer prediction
Y Liu, Y Chen
ACM Conference on Economics and Computation, 63-80, 2017
342017
Sequential peer prediction: Learning to elicit effort using posted prices
Y Liu, Y Chen
Thirty-First AAAI Conference on Artificial Intelligence, 2017
322017
Learning to incentivize: Eliciting effort via output agreement
Y Liu, Y Chen
International Joint Conferences on Artificial Intelligence (IJCAI), 2016
322016
Predicting cyber security incidents using feature-based characterization of network-level malicious activities
Y Liu, J Zhang, A Sarabi, M Liu, M Karir, M Bailey
Proceedings of the 2015 ACM International Workshop on International Workshop …, 2015
292015
Reinforcement Learning with Perturbed Rewards.
J Wang, Y Liu, B Li
AAAI Conference on Artificial Intelligence, 6202-6209, 2020
282020
Risky business: Fine-grained data breach prediction using business profiles
A Sarabi, P Naghizadeh, Y Liu, M Liu
Journal of Cybersecurity 2 (1), 15-28, 2016
242016
Surrogate scoring rules
Y Liu, J Wang, Y Chen
Proceedings of the 21st ACM Conference on Economics and Computation, 853-871, 2020
23*2020
To stay or to switch: Multiuser dynamic channel access
Y Liu, M Liu
IEEE INFOCOM, 1249-1257, 2013
22*2013
Grinding the Space: Learning to Classify Against Strategic Agents
Y Chen, Y Liu, C Podimata
Advances in Neural Information Processing Systems (NeurIPS), 2019
21*2019
From patching delays to infection symptoms: using risk profiles for an early discovery of vulnerabilities exploited in the wild
C Xiao, A Sarabi, Y Liu, B Li, M Liu, T Dumitras
USENIX Security, 903-918, 2018
162018
Bayesian fairness
C Dimitrakakis, Y Liu, DC Parkes, G Radanovic
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019
15*2019
An online approach to dynamic channel access and transmission scheduling
Y Liu, M Liu
Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc …, 2015
15*2015
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Articles 1–20