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Xingjun Ma

Papers
33

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33papers

Authored papers

33

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

arXiv 2026

2026

Internal Safety Collapse in Frontier Large Language Models

arXiv 2026

2026

A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook

arXiv 2026

2026

OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs

arXiv 2026

2026

SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents

arXiv 2026

2026

PixelSmile: Toward Fine-Grained Facial Expression Editing

arXiv 2026

2026

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

arXiv 2026

2026

FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions

arXiv 2026

2026

OmniSVG: A Unified Scalable Vector Graphics Generation Model

arXiv 2025

2025

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs

arXiv 2025

2025

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP

arXiv 2025

2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

arXiv 2025

2025

WithAnyone: Towards Controllable and ID Consistent Image Generation

arXiv 2025

2025

BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models

arXiv 2025

2025

Safety at Scale: A Comprehensive Survey of Large Model Safety

arXiv 2025

2025

Detecting Backdoor Samples in Contrastive Language Image Pretraining

arXiv 2025

2025

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

arXiv 2024

2024

Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks

arXiv 2024

2024

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks

CVPR 2025 1

2024

AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models

CVPR 2025 1

2024

LDReg: Local Dimensionality Regularized Self-Supervised Learning

arXiv 2024

2024

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models

arXiv 2024

2024

Distilling Cognitive Backdoor Patterns within an Image

arXiv 2023

2023

Reconstructive Neuron Pruning for Backdoor Defense

arXiv 2023

2023

Fake Alignment: Are LLMs Really Aligned Well?

arXiv 2023

2023

Fuse Your Latents: Video Editing with Multi-source Latent Diffusion Models

arXiv 2023

2023

Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples

CVPR 2023 1

2022

Few-Shot Backdoor Attacks on Visual Object Tracking

few-shot-backdoor-attacks-on-visual-object

2022

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

arXiv 2021

2021

Unlearnable Examples: Making Personal Data Unexploitable

unlearnable-examples-making-personal-data

2021

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

NeurIPS 2021 12

2021

Normalized Loss Functions for Deep Learning with Noisy Labels

ICML 2020 1

2020

Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness

arXiv 2020

2020

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from 33 papers