Showing 1–20 of 32 results
/ Date/ Name
Jul 21, 2017Efficient Defenses Against Adversarial AttacksSep 23, 2024Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAIAug 28, 2017Open-World Visual Recognition Using Knowledge GraphsDec 16, 2022Robust Learning Protocol for Federated Tumor Segmentation ChallengeJul 7, 2022Challenges and Pitfalls of Bayesian UnlearningSep 6, 2021Automated Robustness with Adversarial Training as a Post-Processing StepNov 22, 2017Adversarial Phenomenon in the Eyes of Bayesian Deep LearningAug 3, 2021The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative ModelsMay 25, 2017Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network trainingFeb 25, 2022Towards an Accountable and Reproducible Federated Learning: A FactSheets ApproachOct 30, 2023Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly DetectionDec 10, 2024Granite GuardianFeb 28, 2025Agentic AI Needs a Systems TheoryJun 7, 2018Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured DataOct 10, 2025Building a Foundational Guardrail for General Agentic Systems via Synthetic DataApr 16, 2025Activated LoRA: Fine-tuned LLMs for IntrinsicsJun 15, 2023Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language ModelsOct 22, 2019How can AI Automate End-to-End Data Science?Dec 3, 2020FAT: Federated Adversarial TrainingNov 1, 2024Attention Tracker: Detecting Prompt Injection Attacks in LLMs