Supervised Multimodal Bitransformers for Classifying Images and Text. - Douwe Kiela; Suvrat Bhooshan; Hamed Firooz; Davide Testuggine (ViGIL@NeurIPS, 2019)

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. - Douwe Kiela; Hamed Firooz; Aravind Mohan; Vedanuj Goswami; Amanpreet Singh; Pratik Ringshia; Davide Testuggine (NeurIPS, 2020)

Opacus: User-Friendly Differential Privacy Library in PyTorch. - Ashkan Yousefpour; Igor Shilov; Alexandre Sablayrolles; Davide Testuggine; Karthik Prasad; Mani Malek 001; John Nguyen; Sayan Ghosh; Akash Bharadwaj; Jessica Zhao; Graham Cormode; Ilya Mironov (CoRR, 2021)

Are Multimodal Transformers Robust to Missing Modality? - Mengmeng Ma 002; Jian Ren 005; Long Zhao 003; Davide Testuggine; Xi Peng 005 (CVPR, 2022)

Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations. - Hakan Inan; Kartikeya Upasani; Jianfeng Chi; Rashi Rungta; Krithika Iyer; Yuning Mao; Michael Tontchev; Qing Hu; Brian Fuller; Davide Testuggine; Madian Khabsa (CoRR, 2023)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)