Jindong Gu

54 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (81) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer 🤝 Dynamic Duo (21) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) ❓ The Questioner (8) ⚡ Prolific Year (20) 🗃️ Keyword Collector (193) 🔥 Unstoppable (6) 💎 Century Club (52)

Conferences

CVPR (10) ECCV (10) AAAI (7) EMNLP (6) ACL (5) ICCV (5) ICLR (5) ICML (2) NIPS (2) WACV (2)

Top co-authors

Volker Tresp (22) Philip Torr (18) Haokun Chen (6) Gengyuan Zhang (5) Shuo Chen (5) Yao Zhang (5) Xiaojun Jia (5) Denis Krompass (4) Yao Qin (4) Xiaochun Cao (4)

Keywords

large language model (6) vision-language model (4) federated learning (4) text-to-image generation (4) multimodal large language model (3) diffusion model (3) safety alignment (3) capsule network (3) multimodal learning (3) adversarial attack (3) adversarial robustness (3) data heterogeneity (2) convolutional neural network (2) adversarial perturbation (2) game theory (2) dynamic routing (2) direct preference optimization (2) image generation (2) preference optimization (2) visual question answering (2)

Papers

Can Editing LLMs Inject Harm? AAAI 2026

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models ICLR 2025

FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025

Multimodal Pragmatic Jailbreak on Text-to-image Models ACL 2025

Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models ACL 2025

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation ACL 2025

FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025

Localizing Events in Videos with Multimodal Queries CVPR 2025

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models CVPR 2025

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos CVPR 2025

Reimagining Safety Alignment with An Image EMNLP 2025

Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025

Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs EMNLP 2025

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025

LLM Jailbreak Detection for (Almost) Free! EMNLP 2025

Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention ICCV 2025

AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025

Primitive Vision: Improving Diagram Understanding in MLLMs ICML 2025

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025

CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering WACV 2025

Initialization Matters for Adversarial Transfer Learning CVPR 2024

Provably Better Explanations with Optimized Aggregation of Feature Attributions ICML 2024

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds CVPR 2024

Latent Guard: a Safety Framework for Text-to-image Generation ECCV 2024

Can Large Language Model Agents Simulate Human Trust Behavior? NIPS 2024

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models ECCV 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models ECCV 2024

Improving Adversarial Transferability via Model Alignment ECCV 2024

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution ECCV 2024

Dataset Distillation by Automatic Training Trajectories ECCV 2024

Visual Question Decomposition on Multimodal Large Language Models EMNLP 2024

An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models ICLR 2024

Influencer Backdoor Attack on Semantic Segmentation ICLR 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024

Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024

Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images ICLR 2024

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation CVPR 2024

Multi-Event Video-Text Retrieval ICCV 2023

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations ACL 2023

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023

Do DALL-E and Flamingo Understand Each Other? ICCV 2023

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation ICCV 2023

Backdoor Defense via Adaptively Splitting Poisoned Dataset CVPR 2023

Are Vision Transformers Robust to Patch Perturbations? ECCV 2022

Towards Efficient Adversarial Training on Vision Transformers ECCV 2022

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal ECCV 2022

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness ECCV 2022

Capsule Network Is Not More Robust Than Convolutional Network CVPR 2021

Interpretable Graph Capsule Networks for Object Recognition AAAI 2021

Effective and Efficient Vote Attack on Capsule Networks ICLR 2021

Improving the Robustness of Capsule Networks to Image Affine Transformations CVPR 2020