Fundamentals of Machine Learning

Characterizing the Weight Space for Different Learning Models

Authors: Saurav Musunuru, Jay N. Paranjape, Rahul Kumar Dubey, Vijendran G. Venkoparao | Published: 2020-06-04
Algorithm
Adversarial Attack Detection
Fundamentals of Machine Learning

Pruning via Iterative Ranking of Sensitivity Statistics

Authors: Stijn Verdenius, Maarten Stol, Patrick Forré | Published: 2020-06-01 | Updated: 2020-06-14
Algorithm
Sparse Model
Fundamentals of Machine Learning

Some Geometrical and Topological Properties of DNNs’ Decision Boundaries

Authors: Bo Liu, Mengya Shen | Published: 2020-03-07 | Updated: 2021-04-16
Robustness Evaluation
Mathematical Foundations
Fundamentals of Machine Learning

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Authors: Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato | Published: 2020-01-27 | Updated: 2021-09-08
Adversarial Attack Detection
Fundamentals of Machine Learning
Deep Reinforcement Learning

Adversarial Model Extraction on Graph Neural Networks

Authors: David DeFazio, Arti Ramesh | Published: 2019-12-16
Graph Neural Network
Model Design
Fundamentals of Machine Learning

Constructing a provably adversarially-robust classifier from a high accuracy one

Authors: Grzegorz Głuch, Rüdiger Urbanke | Published: 2019-12-16
Robustness
Fundamentals of Machine Learning
Statistical Analysis

Machine Unlearning

Authors: Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot | Published: 2019-12-09 | Updated: 2020-12-15
Privacy Protection
Fundamentals of Machine Learning
Adaptive Retraining Mechanism

Preservation of Anomalous Subgroups On Machine Learning Transformed Data

Authors: Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam | Published: 2019-11-09
Privacy-Preserving Algorithm
Privacy Assessment
Fundamentals of Machine Learning

AutoIDS: Auto-encoder Based Method for Intrusion Detection System

Authors: Mohammed Gharib, Bahram Mohammadi, Shadi Hejareh Dastgerdi, Mohammad Sabokrou | Published: 2019-11-08
Security Metric
Attack Detection
Fundamentals of Machine Learning