Search Results
USENIX Security '16 - Stealing Machine Learning Models via Prediction APIs
USENIX Security '21 - Systematic Evaluation of Privacy Risks of Machine Learning Models
Model Stealing Attacks Against Inductive Graph Neural Networks
USENIX Security '20 - Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
USENIX Security '21 - Leakage of Dataset Properties in Multi-Party Machine Learning
USENIX Security '22 - Teacher Model Fingerprinting Attacks Against Transfer Learning
USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction
Defending Against Model Stealing Attacks With Adaptive Misinformation
USENIX Security '22 - Dos and Don'ts of Machine Learning in Computer Security
USENIX Security '21 - Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning
