← Authors

Xingjun Ma

50 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (62) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer ⚑ Prolific Year (9) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (160) πŸ’Ž Century Club (48) πŸ“ˆ Trend Setter

Conferences

ICLR (12) CVPR (7) NIPS (6) AAAI (5) ICCV (5) ICML (5) IJCAI (4) ECCV (3) EMNLP (2) NAACL (1)

Top co-authors

James Bailey (20) Yisen Wang (12) Yu-Gang Jiang (11) Hanxun Huang (8) Yige Li (7) Sarah Monazam Erfani (6) Lingjuan Lyu (6) Bo Li (4) Xiang Zheng (4) Yingchun Wang (4)

Research topics

Privacy (2)

Keywords

adversarial learning (6) backdoor attack (5) adversarial robustness (5) neural network (5) noisy label (4) deep neural network (4) large language model (4) adversarial training (4) adversarial example (3) model compression (3) adversarial attack (3) federated learning (3) vision-language model (3) foundation model (2) jailbreak attack (2) image classification (2) loss function (2) bilevel optimization (2) intrinsic motivation (2) diffusion model (2)

Papers

SIDE: Surrogate Conditional Data Extraction from Diffusion Models AAAI 2026
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data ICCV 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models CVPR 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves ICCV 2025
Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation ICCV 2025
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models EMNLP 2025
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks AAAI 2025
HoneypotNet: Backdoor Attacks Against Model Extraction AAAI 2025
CALM: Curiosity-Driven Auditing for Large Language Models AAAI 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP ICML 2025
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks ICLR 2025
Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025
Fake Alignment: Are LLMs Really Aligned Well? NAACL 2024
Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024
Adversarial Prompt Tuning for Vision-Language Models ECCV 2024
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Transferable Unlearnable Examples ICLR 2023
Distilling Cognitive Backdoor Patterns within an Image ICLR 2023
Reconstructive Neuron Pruning for Backdoor Defense ICML 2023
CalFAT: Calibrated Federated Adversarial Training with Label Skewness NIPS 2022
Few-Shot Backdoor Attacks on Visual Object Tracking ICLR 2022
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models EMNLP 2022
Unlearnable Examples: Making Personal Data Unexploitable ICLR 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data NIPS 2021
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting IJCAI 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing ICLR 2021
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NIPS 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NIPS 2021
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks ICLR 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles CVPR 2020
Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020
Improving Adversarial Robustness Requires Revisiting Misclassified Examples ICLR 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets ICLR 2020
Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks ECCV 2020
Normalized Loss Functions for Deep Learning with Noisy Labels ICML 2020
On the Convergence and Robustness of Adversarial Training ICML 2019
Generative Image Inpainting with Submanifold Alignment IJCAI 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018
Dimensionality-Driven Learning with Noisy Labels ICML 2018
Iterative Learning With Open-Set Noisy Labels CVPR 2018
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017