Siyuan Cheng
28 papers · 2021–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (3)
π
Cross-Pollinator
(3)
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Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(58)
π§¬
Topic Evolution
π€
Dynamic Duo
(16)
π
Grand Slam
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(122)
π
Century Club
(28)
β
The Questioner
(2)
β‘
Prolific Year
(9)
Conferences
EMNLP (6)
AAAI (5)
CVPR (5)
ACL (3)
ICLR (2)
NIPS (2)
ECCV (1)
ICCV (1)
ICML (1)
IJCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
knowledge editing
(6)
large language model
(6)
backdoor attack
(6)
neural network
(5)
adversarial learning
(4)
model editing
(4)
backdoor detection
(3)
adversarial attack
(3)
image classification
(3)
self-supervised learning
(2)
contrastive learning
(2)
text classification
(2)
ai-generated text detection
(2)
trojan attack
(2)
model security
(2)
diffusion model
(2)
trigger pattern
(2)
knowledge distillation
(1)
few-shot learning
(1)
object detection
(1)
Papers
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI
CVPR 2025
System Prompt Hijacking via Permutation Triggers in LLM Supply Chains
ACL 2025
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis
EMNLP 2025
JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models
ICCV 2025
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing
ACL 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
ECCV 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
IJCAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
AAAI 2024
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
NIPS 2024
Editing Language Model-Based Knowledge Graph Embeddings
AAAI 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
EMNLP 2024
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
ACL 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract)
AAAI 2023
MEDIC: Remove Model Backdoors via Importance Driven Cloning
CVPR 2023
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
NIPS 2023
Editing Large Language Models: Problems, Methods, and Opportunities
EMNLP 2023
Can We Edit Multimodal Large Language Models?
EMNLP 2023
Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning
EMNLP 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
ICLR 2023
OntoProtein: Protein Pretraining With Gene Ontology Embedding
ICLR 2022
Contrastive Demonstration Tuning for Pre-trained Language Models
EMNLP 2022
Learning To Filter: Siamese Relation Network for Robust Tracking
CVPR 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
ICML 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
AAAI 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021