156 citations · 238 across the 11 of their papers we have counts for
4 papers · 1 filter
On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization
Michael Kounavis, Ousmane Dia, Ilqar Ramazanli
Machine learning systems such as large scale recommendation systems or natural language processing systems are usually trained on billions of training points and are associated wit…
Training set cleansing of backdoor poisoning by self-supervised representation learning
H. Wang, S. Karami, O. Dia +6
A backdoor or Trojan attack is an important type of data poisoning attack against deep neural network (DNN) classifiers, wherein the training dataset is poisoned with a small numbe…
Adversarial Examples in Modern Machine Learning: A Review
Rey Reza Wiyatno, Anqi Xu, Ousmane Dia +1
Recent research has found that many families of machine learning models are vulnerable to adversarial examples: inputs that are specifically designed to cause the target model to p…
Bayesian Model-Agnostic Meta-Learning
Taesup Kim, Jaesik Yoon, Ousmane Dia +3
Learning to infer Bayesian posterior from a few-shot dataset is an important step towards robust meta-learning due to the model uncertainty inherent in the problem. In this paper,…