Yang Liu
Yang Liu
Computer Science and Engineering, UC Santa Cruz
ucsc.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
Actionable Recourse in Linear Classification
B Ustun, A Spangher, Y Liu
ACM Conference on Fairness, Accountability, and Transparency, 2018
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
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
Rating network security posture and comparing network maliciousness
M Liu, M Bailey, M Karir, Y Liu, J Zhang
US Patent 10,038,703, 2018
An online learning approach to improving the quality of crowdsourcing
Y Liu, M Liu
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
Peer loss functions: Learning from noisy labels without knowing noise rates
Y Liu, H Guo
International Conference on Machine Learning, 6226-6236, 2020
Fairness without harm: Decoupled classifiers with preference guarantees
B Ustun, Y Liu, D Parkes
International Conference on Machine Learning, 6373-6382, 2019
Machine-learning aided peer prediction
Y Liu, Y Chen
ACM Conference on Economics and Computation, 63-80, 2017
Sequential peer prediction: Learning to elicit effort using posted prices
Y Liu, Y Chen
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Learning to incentivize: Eliciting effort via output agreement
Y Liu, Y Chen
International Joint Conferences on Artificial Intelligence (IJCAI), 2016
Reinforcement Learning with Perturbed Rewards.
J Wang, Y Liu, B Li
AAAI Conference on Artificial Intelligence, 6202-6209, 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
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
Grinding the Space: Learning to Classify Against Strategic Agents
Y Chen, Y Liu, C Podimata
Advances in Neural Information Processing Systems (NeurIPS), 2019
To stay or to switch: Multiuser dynamic channel access
Y Liu, M Liu
IEEE INFOCOM, 1249-1257, 2013
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
Learning with instance-dependent label noise: A sample sieve approach
H Cheng, Z Zhu, X Li, Y Gong, X Sun, Y Liu
arXiv preprint arXiv:2010.02347, 2020
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
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20