Bayesian Model-Agnostic Meta-Learning. - Jaesik Yoon; Taesup Kim; Ousmane Dia; Sungwoong Kim; Yoshua Bengio; Sungjin Ahn (NeurIPS, 2018)

Adversarial Examples in Modern Machine Learning: A Review. - Rey Reza Wiyatno; Anqi Xu 003; Ousmane Dia; Archy de Berker (CoRR, 2019)

Enabling Inference Privacy with Adaptive Noise Injection. - Sanjay Kariyappa; Ousmane Dia; Moinuddin K. Qureshi (CoRR, 2021)

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection. - Yifei Ming; Yiyou Sun; Ousmane Dia; Yixuan Li 001 (CoRR, 2022)

Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. - Hang Wang; Sahar Karami; Ousmane Dia; Hippolyt Ritter; Ehsan Emamjomeh-Zadeh; Jiahui Chen; Zhen Xiang; David J. Miller 001; George Kesidis (ICASSP, 2023)

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? - Yifei Ming; Yiyou Sun; Ousmane Dia; Yixuan Li 001 (ICLR, 2023)

On Influence Functions, Classification Influence, Relative Influence, Memorization and Generalization. - Michael Kounavis; Ousmane Dia; Ilqar Ramazanli (CoRR, 2023)