Jinyuan Jia
32 papers · 2015–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(13)
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Dynamic Duo
(11)
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Keyword Champion
(2)
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Grand Slam
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Topic Evolution
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Triple Crown
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Keyword Collector
(133)
Top co-authors
Research topics
Machine Learning
(22)
Artificial Intelligence
(20)
Core AI
(19)
Deep Learning
(17)
Learning Types Β· Machine Learning
(16)
Learning Types Β· Deep Learning
(9)
Optimization & Theory
(8)
Architectures
(7)
Core Methods
(7)
Application Areas
(6)
Computer Vision
(5)
Security & Privacy
(4)
Analysis
(4)
Privacy
(4)
Learning Paradigms
(3)
Keywords
adversarial robustness
(8)
backdoor attack
(8)
certified robustness
(6)
adversarial perturbation
(5)
adversarial attack
(5)
graph neural network
(4)
adversarial learning
(4)
randomized smoothing
(4)
large language model
(3)
ensemble learning
(3)
data poisoning
(3)
jailbreak attack
(3)
federated learning
(3)
top-k prediction
(2)
certified defense
(2)
adversarial defense
(2)
model security
(2)
diffusion model
(2)
image generation
(2)
provable robustness
(2)
Papers
PIArena: A Platform for Prompt Injection Evaluation
ACL 2026
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs
EMNLP 2025
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
ICLR 2025
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
AAAI 2025
VODiff: Controlling Object Visibility Order in Text-to-Image Generation
CVPR 2025
Certifiably Robust Image Watermark
ECCV 2024
Data Free Backdoor Attacks
NeurIPS 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning
CVPR 2024
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
AAAI 2024
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
ICLR 2024
Graph Neural Network Explanations are Fragile
ICML 2024
Jailbreak Open-Sourced Large Language Models via Enforced Decoding
ACL 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
CVPR 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NeurIPS 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
ACL 2024
SHINE: Shielding Backdoors in Deep Reinforcement Learning
ICML 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
CVPR 2024
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning
NeurIPS 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NeurIPS 2023
Graph Contrastive Backdoor Attacks
ICML 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
NeurIPS 2023
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
CVPR 2023
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
ICLR 2022
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
AAAI 2022
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
NeurIPS 2022
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
AAAI 2021
On the Intrinsic Differential Privacy of Bagging
IJCAI 2021
PointGuard: Provably Robust 3D Point Cloud Classification
CVPR 2021
Provably Secure Federated Learning against Malicious Clients
AAAI 2021
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
AAAI 2021
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing
ICLR 2020
Object Proposal by Multi-Branch Hierarchical Segmentation
CVPR 2015