Jinyuan Jia
32 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Conference Polyglot (9) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(45)
π¬
Deep Specialist
(11)
π
Triple Crown
π€
Dynamic Duo
(11)
π
Grand Slam
ποΈ
Keyword Collector
(113)
π
Century Club
(31)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
Conferences
CVPR (7)
AAAI (6)
NIPS (6)
ICLR (4)
ACL (3)
ICML (3)
ECCV (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
backdoor attack
(7)
adversarial robustness
(5)
adversarial learning
(4)
adversarial attack
(4)
certified robustness
(4)
ensemble learning
(3)
large language model
(3)
federated learning
(3)
jailbreak attack
(3)
data poisoning
(3)
randomized smoothing
(2)
model security
(2)
adversarial defense
(2)
adversarial perturbation
(2)
graph neural network
(2)
self-supervised learning
(1)
model robustness
(1)
game theory
(1)
contrastive learning
(1)
image synthesis
(1)
Papers
PIArena: A Platform for Prompt Injection Evaluation
ACL 2026
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
ICLR 2025
VODiff: Controlling Object Visibility Order in Text-to-Image Generation
CVPR 2025
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs
EMNLP 2025
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
AAAI 2025
SHINE: Shielding Backdoors in Deep Reinforcement Learning
ICML 2024
Graph Neural Network Explanations are Fragile
ICML 2024
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
AAAI 2024
Jailbreak Open-Sourced Large Language Models via Enforced Decoding
ACL 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
ACL 2024
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
ICLR 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
CVPR 2024
Certifiably Robust Image Watermark
ECCV 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
CVPR 2024
Data Poisoning based Backdoor Attacks to Contrastive Learning
CVPR 2024
Data Free Backdoor Attacks
NIPS 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NIPS 2024
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
CVPR 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
NIPS 2023
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
NIPS 2023
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning
NIPS 2023
Graph Contrastive Backdoor Attacks
ICML 2023
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
AAAI 2022
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples
NIPS 2022
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
ICLR 2022
Provably Secure Federated Learning against Malicious Clients
AAAI 2021
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
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