Guanhong Tao
24 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (8) π Renaissance Researcher (8) π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (38)
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Dynamic Duo
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Prolific Year
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Conferences
CVPR (6)
NIPS (5)
ICLR (3)
AAAI (2)
ECCV (2)
ICML (2)
ACL (1)
EACL (1)
EMNLP (1)
WACV (1)
Top co-authors
Research topics
Keywords
backdoor attack
(10)
neural network
(6)
adversarial learning
(6)
backdoor detection
(5)
model security
(4)
trigger inversion
(4)
neural network security
(3)
adversarial attack
(3)
image classification
(2)
neuron activation
(2)
trojan detection
(2)
ai-generated text detection
(2)
adversarial defense
(2)
feature perturbation
(2)
policy learning
(1)
face recognition
(1)
knowledge distillation
(1)
adversarial machine learning
(1)
natural language processing
(1)
self-supervised learning
(1)
Papers
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis
EMNLP 2025
Threat Behavior Textual Search by Attention Graph Isomorphism
EACL 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
AAAI 2024
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
ICLR 2024
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
NIPS 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
ECCV 2024
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NIPS 2023
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
NIPS 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
NIPS 2023
Backdooring Neural Code Search
ACL 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
ICLR 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
ICLR 2023
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
ECCV 2022
Bounded Adversarial Attack on Deep Content Features
CVPR 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Better Trigger Inversion Optimization in Backdoor Scanning
CVPR 2022
Complex Backdoor Detection by Symmetric Feature Differencing
CVPR 2022
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
ICML 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
NIPS 2018