Jinghui Chen

42 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10)

🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (14) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (16) 🧬 Topic Evolution 🏆 Keyword Champion (2) ❓ The Questioner 🗃️ Keyword Collector (143) 💎 Century Club (40) 🔥 Unstoppable (6) ⚡ Prolific Year (9)

Conferences

NIPS (11) ICML (7) ACL (6) AAAI (4) ICLR (4) NAACL (4) AISTATS (2) EMNLP (2) IJCAI (1) UAI (1)

Top co-authors

Lu Lin (14) Yuanpu Cao (11) Bochuan Cao (10) Fenglong Ma (10) Ting Wang (9) Quanquan Gu (8) Ziyi Yin (7) Tianrong Zhang (6) Jinyuan Jia (5) Yujia Wang (5)

Research topics

Privacy (1)

Keywords

large language model (7) adversarial attack (6) backdoor attack (6) adversarial robustness (5) federated learning (5) adversarial training (4) adversarial perturbation (3) adversarial learning (3) multimodal learning (3) nonconvex optimization (3) model alignment (3) jailbreak attack (2) foundation model (2) few-shot learning (2) multimodal large language model (2) trigger pattern (2) stochastic gradient descent (2) ai safety (2) model security (2) gradient compression (2)

Papers

Can Factual Opinions Be Edited (Manipulated) in Large Language Models? ACL 2026 ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding ACL 2026 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025 JoPA: Explaining Large Language Model’s Generation via Joint Prompt Attribution ACL 2025 PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection NAACL 2025 AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models ICML 2025 TruthFlow: Truthful LLM Generation via Representation Flow Correction ICML 2025 Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time EMNLP 2025 WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response NAACL 2025 Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections NAACL 2024 FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection NIPS 2024 Data Free Backdoor Attacks NIPS 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NIPS 2024 VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models AAAI 2024 Jailbreak Open-Sourced Large Language Models via Enforced Decoding ACL 2024 Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM ACL 2024 FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024 Backdoor Contrastive Learning via Bi-level Trigger Optimization ICLR 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 Graph Adversarial Diffusion Convolution ICML 2024 FADAS: Towards Federated Adaptive Asynchronous Optimization ICML 2024 PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning NAACL 2024 A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning NIPS 2023 Spectral Augmentation for Self-Supervised Learning on Graphs ICLR 2023 UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation NIPS 2023 IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI NIPS 2023 Graph Contrastive Backdoor Attacks ICML 2023 Benign Overfitting in Adversarially Robust Linear Classification UAI 2023 VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models NIPS 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NIPS 2023 Efficient Robust Training via Backward Smoothing AAAI 2022 Communication-Efficient Adaptive Federated Learning ICML 2022 Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations ICLR 2022 One-shot Neural Backdoor Erasing via Adversarial Weight Masking NIPS 2022 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022 Do Wider Neural Networks Really Help Adversarial Robustness? NIPS 2021 A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020 Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020 Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks IJCAI 2020 Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018