Shiqing Ma
31 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(39)
π¬
Deep Specialist
(13)
π
Keyword Champion
(4)
π
Grand Slam
π€
Dynamic Duo
(14)
π
Century Club
(29)
ποΈ
Keyword Collector
(98)
π₯
Unstoppable
(5)
β
The Questioner
(2)
β‘
Prolific Year
(6)
Conferences
CVPR (9)
NIPS (5)
ACL (4)
ICLR (4)
AAAI (3)
ICML (3)
NAACL (2)
ECCV (1)
Top co-authors
Research topics
Keywords
backdoor attack
(12)
neural network
(7)
model security
(5)
backdoor detection
(5)
trojan attack
(5)
adversarial learning
(4)
trigger inversion
(4)
adversarial attack
(4)
neural network security
(4)
deep neural network
(3)
reverse engineering
(2)
chain-of-thought reasoning
(2)
self-supervised learning
(2)
trigger pattern
(2)
adversarial defense
(2)
robustness verification
(2)
generative model
(2)
feature space
(2)
backdoor defense
(2)
formal verification
(2)
Papers
False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models
ACL 2026
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
AAAI 2026
Data-centric NLP Backdoor Defense from the Lens of Memorization
NAACL 2025
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer
NAACL 2025
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
ICLR 2025
MLLM-as-a-Judge for Image Safety without Human Labeling
CVPR 2025
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation
ACL 2025
Invisible Backdoor Attack against Self-supervised Learning
CVPR 2025
Token-Budget-Aware LLM Reasoning
ACL 2025
Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
CVPR 2025
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
CVPR 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
AAAI 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
CVPR 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
ECCV 2024
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
ICLR 2024
How to Trace Latent Generative Model Generated Images without Artificial Watermark?
ICML 2024
Detecting Backdoors in Pre-Trained Encoders
CVPR 2023
Where Did I Come From? Origin Attribution of AI-Generated Images
NIPS 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
ACL 2023
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
NIPS 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
ICLR 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework
ICLR 2023
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training
NIPS 2022
BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
CVPR 2022
Better Trigger Inversion Optimization in Backdoor Scanning
CVPR 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Rethinking the Reverse-engineering of Trojan Triggers
NIPS 2022
Complex Backdoor Detection by Symmetric Feature Differencing
CVPR 2022
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
AAAI 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
ICML 2021
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples
NIPS 2018