Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
Abstract
Supplementary Material
- Download
- 25.05 MB
References
Index Terms
- Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
Recommendations
Poison frogs! targeted clean-label poisoning attacks on neural networks
NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing SystemsData poisoning is an attack on machine learning models wherein the attacker adds examples to the training set to manipulate the behavior of the model at test time. This paper explores poisoning attacks on neural nets. The proposed attacks use "clean-...
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks
Computer Vision – ECCV 2020 WorkshopsAbstractTargeted clean-label data poisoning is a type of adversarial attack on machine learning systems in which an adversary injects a few correctly-labeled, minimally-perturbed samples into the training data, causing a model to misclassify a particular ...
Label Sanitization Against Label Flipping Poisoning Attacks
ECML PKDD 2018 WorkshopsAbstractMany machine learning systems rely on data collected in the wild from untrusted sources, exposing the learning algorithms to data poisoning. Attackers can inject malicious data in the training dataset to subvert the learning process, compromising ...
Comments
Information & Contributors
Information
Published In
- General Chairs:
- Ingo Frommholz,
- Frank Hopfgartner,
- Mark Lee,
- Michael Oakes,
- Program Chairs:
- Mounia Lalmas,
- Min Zhang,
- Rodrygo Santos
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
Acceptance Rates
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 130Total Downloads
- Downloads (Last 12 months)91
- Downloads (Last 6 weeks)13
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in