Can Algorithms be Explained Without Compromising Efficiency? The Benefits of Detection and Imitation in Strategic Classification.
Flavia BarsottiRüya Gökhan KoçerFernando P. SantosPublished in: AAMAS (2022)
Keyphrases
- computational efficiency
- classification algorithm
- machine learning algorithms
- computational complexity
- feature extraction
- pattern classification
- pattern recognition
- benchmark datasets
- detection algorithm
- anomaly detection
- computer vision
- page segmentation
- terms of classification accuracy
- theoretical analysis
- support vector
- machine learning
- support vector machine svm
- detection method
- face detection
- optimization problems
- knowledge management
- false positives
- classification accuracy
- feature space
- detection rate
- training data