A lot of fun to work on this collaboration with Amira, Ihsen, and Khaled N. Khasawneh

I just told my daughter that if we can have a woman VP in the White House, then she, too can do anything. Since she's 2 years old, she responded that she would like some chocolate.

How does an approximate multiplier design act as a defense against adversarial attacks? Defensive Approximation: Securing CNNs using Approximate Computing asplos-conference.org/abstracts/aspl… Amira Guesmi @ihstein Nael Abu-Ghazaleh #ASPLOS21 #AdversarialML #Approximation

6) If you're a student: NYU Center for Data Science Deep Learning course (completely free w/ lecture recordings, notebooks, etc.) by Yann LeCun and Alfredo Canziani cds.nyu.edu/deep-learning/ Hugging Face Courses (on Transformers): huggingface.co/course/chapter… @PyTorchLightnin: pytorchlightning.ai

Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems deepai.org/publication/sp… by Shail Dave et al. including Amira Guesmi, @ihstein #MachineLearning #ComputerScience

a-RNA: Adversarial Radio Noise Attack to Fool Radar-based Environment Perception Systems. (arXiv:2211.01112v1 [cs.C… arxiv.org/abs/2211.01112

Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. (arXiv:2211.01182v1 [cs.CR]) arxiv.org/abs/2211.01182

🤖 Autonomous navigation just got smarter! 🤓 Check out this paper on CNN-based Monocular Depth Estimation with Adaptive Adversarial Patch: deepai.org/publication/ap… by Amira Guesmi, @ihstein & co. #AutonomousNavigation #Robotics #AI #DeepLearning

AdvART: Adversarial Art for Camouflaged Object Detection Attacks. (arXiv:2303.01734v1 [cs.CV]) arxiv.org/abs/2303.01734

Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. (arXiv:2303.01819v1 [cs.LG]) arxiv.org/abs/2303.01819

🔥Lowkey Goated When Camouflaged Object Detection Is The Vibe🔥🤯 Check out this dope paper by Amira Guesmi, @ihstein & co. on #GenerativeAdversarialNetworks & #LossFunction - AdvART: Adversarial Art for Camouflaged Object Detection Attacks. deepai.org/publication/ad…

Our paper entitled “DAP: A Dynamic Adversarial Patch for Evading Person Detection” has been accepted to #CVPR2024 🎉.

Having the time of my life #CVPR2026 🤗 #CVPR2024 #AI

One of my favorite booths in the Expo Hall #CVPR2026: a Boston Dynamics AI Institute “ISH” drawing my face 🤖😍

Dubai would be a great place for #ICCV2029. Vibrant local community at MBZUAI and NYU Abu Dhabi. Easy to get to from anywhere. Good weather. Lots of investors interested in AI/ML/CV. A government eager to promote AI.

📢 Today I had the incredible opportunity to present our paper #DAP at #CVPR2024! I am truly grateful for this amazing experience, the wonderful people I had the pleasure of meeting, and the insightful conversations we had during the event.

🚀 Excited to share that our paper "SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications" has been accepted to #IROS2024! 🎉 Paper: arxiv.org/abs/2403.11515

📢🚨 Excited to share that our paper “ODDR: Outlier detection & dimension reduction based defense against adversarial patches” has been accepted at #ICCV2025. See you in Hawaii 🏝️

Happy to announce that I have been selected as a NeurIPS 2025 Top Reviewer 🎉 #neurips2025