PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. - Toluwani Aremu; Karthik Nandakumar (SaTML, 2023)

Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks. - Toluwani Aremu (IACR Cryptol. ePrint Arch., 2023)

ScholarFace: Scanning Faces, Discovering Minds. - Wong Yu Kang; Toluwani Aremu; Younes Balah; Maryam Nadeem; Ivo Gollini Navarette; Abdulmotaleb El-Saddik (ICCE, 2024)

Redefining Contributions: Shapley-Driven Federated Learning. - Nurbek Tastan; Samar Fares; Toluwani Aremu; Samuel Horváth; Karthik Nandakumar (IJCAI, 2024)

SSIVD-Net: A Novel Salient Super Image Classification and Detection Technique for Weaponized Violence. - Toluwani Aremu; Li Zhiyuan; Reem Alameeri; Mustaqeem Khan 001; Abdulmotaleb El-Saddik (SAI (3), 2024)

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. - Samar Fares; Klea Ziu; Toluwani Aremu; Nikita Durasov; Martin Takác 001; Pascal Fua; Karthik Nandakumar; Ivan Laptev (CoRR, 2024)

Optimizing Adaptive Attacks against Content Watermarks for Language Models. - Abdulrahman Diaa; Toluwani Aremu; Nils Lukas (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Benjamin Heinzerling; Velibor Bojkovic; Hilal AlQuabeh; Martin Takác 001; Kentaro Inui (ACL (1), 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

On the reliability of Large Language Models to misinformed and demographically informed prompts. - Toluwani Aremu; Oluwakemi Akinwehinmi; Chukwuemeka Nwagu; Syed Ishtiaque Ahmed; Rita Orji; Pedro Arnau del Amo; Abdulmotaleb El-Saddik (AI Mag., 2025)

RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles. - Munachiso Nwadike; Zangir Iklassov; Toluwani Aremu; Tatsuya Hiraoka; Velibor Bojkovic; Benjamin Heinzerling; Hilal Alqaubeh; Martin Takác 001; Kentaro Inui (CoRR, 2025)

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking. - Toluwani Aremu; Noor Hussein; Munachiso Nwadike; Samuele Poppi; Jie Zhang; Karthik Nandakumar; Neil Gong 001; Nils Lukas (CoRR, 2025)