Ning Yu

Aysegul Dundar

CoRR, 2024

Text2Data: Low-Resource Data Generation with Textual Control.

[BibT_eX]

[DOI]

CoRR, 2024

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models.

[BibT_eX]

[DOI]

Hossein Hajipour

Cristian-Alexandru Staicu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Hierarchical Point Attention for Indoor 3D Object Detection.

[BibT_eX]

[DOI]

Manli Shu

Le Xue

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HIVE: Harnessing Human Feedback for Instructional Visual Editing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Vision-language models boost food composition compilation.

[BibT_eX]

[DOI]

CoRR, 2023

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Model-Agnostic Hierarchical Attention for 3D Object Detection.

[BibT_eX]

[DOI]

Manli Shu

Le Xue

Juan Carlos Niebles

Caiming Xiong

Ran Xu

CoRR, 2023

UnGANable: Defending Against GAN-based Face Manipulation.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generated Graph Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RoSteALS: Robust Steganography using Autoencoder Latent Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models.

[BibT_eX]

[DOI]

Hossein Hajipour

Cristian-Alexandru Staicu

CoRR, 2022

Membership Inference Attacks Against Text-to-image Generation Models.

[BibT_eX]

[DOI]

CoRR, 2022

Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

RelaxLoss: Defending Membership Inference Attacks without Losing Utility.

[BibT_eX]

[DOI]

Dingfan Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

RepMix: Representation Mixing for Robust Attribution of Synthesized Images.

[BibT_eX]

[DOI]

Tu Bui

John P. Collomosse

Proceedings of the Computer Vision - ECCV 2022, 2022

Auditing Membership Leakages of Multi-Exit Networks.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Contrastive Loss and Attention for GANs.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.

[BibT_eX]

[DOI]

Hui-Po Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Video Inpainting Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Black-Box Watermarking for Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Long-Tailed Recognition Using Class-Balanced Experts.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs.

[BibT_eX]

[DOI]

CoRR, 2019

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints.

[BibT_eX]

[DOI]

Larry Davis

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images.

[BibT_eX]

[DOI]

Larry Davis