Yang Liu
Yang Liu
Computer Science and Engineering, UC Santa Cruz
Bestätigte E-Mail-Adresse bei ucsc.edu - Startseite
Zitiert von
Zitiert von
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
Actionable Recourse in Linear Classification
B Ustun, A Spangher, Y Liu
ACM Conference on Fairness, Accountability, and Transparency, 2018
An online learning approach to improving the quality of crowdsourcing
Y Liu, M Liu
Rating network security posture and comparing network maliciousness
M Liu, M Bailey, M Karir, Y Liu, J Zhang
US Patent 10,038,703, 2018
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
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
Machine-learning aided peer prediction
Y Liu, Y Chen
ACM Conference on Economics and Computation, 63-80, 2017
Fairness without harm: Decoupled classifiers with preference guarantees
B Ustun, Y Liu, D Parkes
International Conference on Machine Learning, 6373-6382, 2019
Sequential peer prediction: Learning to elicit effort using posted prices
Y Liu, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Learning to incentivize: Eliciting effort via output agreement
Y Liu, Y Chen
International Joint Conferences on Artificial Intelligence (IJCAI), 2016
Peer loss functions: Learning from noisy labels without knowing noise rates
Y Liu, H Guo
International Conference on Machine Learning, 6226-6236, 2020
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
Reinforcement Learning with Perturbed Rewards.
J Wang, Y Liu, B Li
AAAI Conference on Artificial Intelligence, 6202-6209, 2020
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
Surrogate scoring rules
Y Liu, J Wang, Y Chen
Proceedings of the 21st ACM Conference on Economics and Computation, 853-871, 2020
To stay or to switch: Multiuser dynamic channel access
Y Liu, M Liu
IEEE INFOCOM, 1249-1257, 2013
Grinding the Space: Learning to Classify Against Strategic Agents
Y Chen, Y Liu, C Podimata
Advances in Neural Information Processing Systems (NeurIPS), 2019
Bayesian fairness
C Dimitrakakis, Y Liu, DC Parkes, G Radanovic
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 509-516, 2019
Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles.
A Sarabi, P Naghizadeh, Y Liu, M Liu
WEIS, 2015
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
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