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Farshad Khorrami — most-cited papers & profile · Large Language Models
← authors
·
overview
Farshad Khorrami
22
papers ·
21
citations ·
38
h-index
New York University Abu Dhabi · State University of New York · Long Island University · Robotics Research (United States) · Brooklyn Technical High School · New York University · Brooklyn College
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Most-cited papers
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection
2023 · 11 citations
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
2024 · 3 citations
Towards Better Certified Segmentation via Diffusion Models
2023 · 2 citations
RAZER: Robust Accelerated Zero-shot 3D Open-vocabulary Panoptic Reconstruction With Spatio-temporal Aggregation
2025 · 1 citations
D-CIPHER: Dynamic Collaborative Intelligent Multi-agent System With Planner And Heterogeneous Executors For Offensive Security
2025 · 1 citations
NNoculation: Catching BadNets in the Wild
2020 · 1 citations
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
2024 · 1 citations
HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language Models
2024 · 1 citations
Chain-of-frames: Advancing Video Understanding In Multimodal Llms Via Frame-aware Reasoning
2025
CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
2026
CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
2026
Binary Diff Summarization using Large Language Models
2025
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
2025
Ransomware 3.0: Self-Composing and LLM-Orchestrated
2025
3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks
2025
Topics
LLM Security
Vulnerability Detection
Threat Intelligence
Malware Detection
Vision-Language Models
Benchmarks
Adversarial ML
Anomaly Detection
Network Security
Forensics