Khorrami, Farshad

15 publications

WACV 2025 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu, Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami

TMLR 2025 EMMA: Efficient Visual Alignment in Multi-Modal LLMs Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

ICML 2025 EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik R Narasimhan, Ramesh Karri, Ofir Press

WACV 2025 FlashMix: Fast mAP-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy, Farshad Khorrami

ICML 2025 MP-Nav: Enhancing Data Poisoning Attacks Against Multimodal Learning Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami

NeurIPS 2025 OSVI-WM: One-Shot Visual Imitation for Unseen Tasks Using World-Model-Guided Trajectory Generation Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami

CVPR 2025 RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation Through Embedding Predictive Pre-Training Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun, Farshad Khorrami

ICLR 2024 LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg

NeurIPS 2024 NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

ICLR 2024 Novel Quadratic Constraints for Extending LipSDP Beyond Slope-Restricted Activations Patricia Pauli, Aaron J Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu

AISTATS 2024 On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg

NeurIPS 2023 Exploiting Connections Between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu

NeurIPSW 2023 On the Limitation of Backdoor Detection Methods Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg

ICMLW 2023 R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo

UAI 2023 Towards Better Certified Segmentation via Diffusion Models Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou