Automatic Image Defect Diagnosis. - Ning Yu 006; Xiaohui Shen; Zhe Lin 001; Radomír Mech; Connelly Barnes (CoRR, 2016)

Learning to Detect Multiple Photographic Defects. - Ning Yu 006; Xiaohui Shen; Zhe Lin 001; Radomír Mech; Connelly Barnes (WACV, 2018)

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. - Ning Yu 006; Larry Davis 001; Mario Fritz (CoRR, 2018)

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. - Ning Yu 006; Connelly Barnes; Eli Shechtman; Sohrab Amirghodsi; Michal Lukác (CVPR, 2019)

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. - Ning Yu 006; Larry Davis 001; Mario Fritz (ICCV, 2019)

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. - Dingfan Chen; Ning Yu 006; Yang Zhang 016; Mario Fritz (CoRR, 2019)

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. - Dingfan Chen; Ning Yu 006; Yang Zhang 016; Mario Fritz (CCS, 2020)

Long-Tailed Recognition Using Class-Balanced Experts. - Saurabh Sharma; Ning Yu 006; Mario Fritz; Bernt Schiele (GCPR, 2020)

Inclusive GAN: Improving Data and Minority Coverage in Generative Models. - Ning Yu 006; Ke Li 011; Peng Zhou 009; Jitendra Malik; Larry Davis 001; Mario Fritz (ECCV (22), 2020)

Black-Box Watermarking for Generative Adversarial Networks. - Vladislav Skripniuk; Ning Yu 006; Sahar Abdelnabi; Mario Fritz (CoRR, 2020)

Deep Video Inpainting Detection. - Peng Zhou 009; Ning Yu 006; Zuxuan Wu; Larry Davis 001; Abhinav Shrivastava; Ser-Nam Lim (BMVC, 2021)

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. - Hui-Po Wang; Ning Yu 006; Mario Fritz (CVPR, 2021)

Dual Contrastive Loss and Attention for GANs. - Ning Yu 006; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis 001; Mario Fritz (ICCV, 2021)

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. - Ning Yu 006; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz (ICCV, 2021)

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. - Yang He 005; Ning Yu 006; Margret Keuper; Mario Fritz (IJCAI, 2021)

Human-Centric Deep Generative Models: The Blessing and The Curse. - Ning Yu 006 (2021)

Auditing Membership Leakages of Multi-Exit Networks. - Zheng Li 023; Yiyong Liu; Xinlei He 001; Ning Yu 006; Michael Backes 001; Yang Zhang 016 (CCS, 2022)

RepMix: Representation Mixing for Robust Attribution of Synthesized Images. - Tu Bui; Ning Yu 006; John P. Collomosse (ECCV (14), 2022)

RelaxLoss: Defending Membership Inference Attacks without Losing Utility. - Dingfan Chen; Ning Yu 006; Mario Fritz (ICLR, 2022)

Responsible Disclosure of Generative Models Using Scalable Fingerprinting. - Ning Yu 006; Vladislav Skripniuk; Dingfan Chen; Larry S. Davis; Mario Fritz (ICLR, 2022)

Membership Inference Attacks Against Text-to-image Generation Models. - Yixin Wu 001; Ning Yu 006; Zheng Li 023; Michael Backes 001; Yang Zhang 016 (CoRR, 2022)

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. - Hossein Hajipour; Ning Yu 006; Cristian-Alexandru Staicu; Mario Fritz (CoRR, 2022)

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models. - Zeyang Sha; Zheng Li 023; Ning Yu 006; Yang Zhang 016 (CoRR, 2022)

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models. - Zeyang Sha; Zheng Li 023; Ning Yu 006; Yang Zhang 016 (CCS, 2023)

RoSteALS: Robust Steganography using Autoencoder Latent Space. - Tu Bui; Shruti Agarwal; Ning Yu 006; John P. Collomosse (CVPR Workshops, 2023)

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. - Zeyang Sha; Xinlei He 001; Ning Yu 006; Michael Backes 001; Yang Zhang 016 (CVPR, 2023)

Mask-Free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations. - Vibashan VS; Ning Yu 006; Chen Xing; Can Qin; Mingfei Gao; Juan Carlos Niebles; Vishal M. Patel; Ran Xu 001 (CVPR, 2023)

GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. - Can Qin; Ning Yu 006; Chen Xing; Shu Zhang 007; Zeyuan Chen 001; Stefano Ermon; Yun Fu 001; Caiming Xiong; Ran Xu 001 (ICCV, 2023)

Generated Graph Detection. - Yihan Ma 001; Zhikun Zhang 001; Ning Yu 006; Xinlei He 001; Michael Backes 001; Yun Shen; Yang Zhang 016 (ICML, 2023)

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. - Can Qin; Shu Zhang 007; Ning Yu 006; Yihao Feng; Xinyi Yang 002; Yingbo Zhou; Huan Wang 014; Juan Carlos Niebles; Caiming Xiong; Silvio Savarese; Stefano Ermon; Yun Fu 001; et al. (NeurIPS, 2023)

UnGANable: Defending Against GAN-based Face Manipulation. - Zheng Li 023; Ning Yu 006; Ahmed Salem 001; Michael Backes 001; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2023)

Model-Agnostic Hierarchical Attention for 3D Object Detection. - Manli Shu; Le Xue; Ning Yu 006; Roberto Martín-Martín; Juan Carlos Niebles; Caiming Xiong; Ran Xu 001 (CoRR, 2023)

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. - Le Xue; Ning Yu 006; Shu Zhang 007; Junnan Li 001; Roberto Martín-Martín; Jiajun Wu 001; Caiming Xiong; Ran Xu 001; Juan Carlos Niebles; Silvio Savarese (CoRR, 2023)

Vision-language models boost food composition compilation. - Peihua Ma; Yixin Wu 001; Ning Yu 006; Yang Zhang 016; Michael Backes 001; Qin Wang; Cheng-I Wei (CoRR, 2023)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (CoRR, 2023)

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. - Artemis Panagopoulou; Le Xue; Ning Yu 006; Junnan Li 001; Dongxu Li; Shafiq Joty; Ran Xu 001; Silvio Savarese; Caiming Xiong; Juan Carlos Niebles (CoRR, 2023)

HIVE: Harnessing Human Feedback for Instructional Visual Editing. - Shu Zhang 007; Xinyi Yang 002; Yihao Feng; Can Qin; Chia-Chih Chen; Ning Yu 006; Zeyuan Chen 001; Huan Wang 014; Silvio Savarese; Stefano Ermon; Caiming Xiong; Ran Xu 001 (CVPR, 2024)

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. - Le Xue; Ning Yu 006; Shu Zhang 007; Artemis Panagopoulou; Junnan Li 001; Roberto Martín-Martín; Jiajun Wu 001; Caiming Xiong; Ran Xu 001; Juan Carlos Niebles; Silvio Savarese (CVPR, 2024)

Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. - Yuan Xin; Zheng Li 023; Ning Yu 006; Dingfan Chen; Mario Fritz; Michael Backes 001; Yang Zhang 016 (ECAI, 2024)

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. - Artemis Panagopoulou; Le Xue; Ning Yu 006; Junnan Li 001; Dongxu Li; Shafiq Joty; Ran Xu 001; Silvio Savarese; Caiming Xiong; Juan Carlos Niebles (ECCV (45), 2024)

LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. - Ning Yu 006; Chia-Chih Chen; Zeyuan Chen 001; Rui Meng; Gang Wu; Paul Josel; Juan Carlos Niebles; Caiming Xiong; Ran Xu 001 (ECCV (20), 2024)

Hierarchical Point Attention for Indoor 3D Object Detection. - Manli Shu; Le Xue; Ning Yu 006; Roberto Martín-Martín; Caiming Xiong; Tom Goldstein; Juan Carlos Niebles; Ran Xu 001 (ICRA, 2024)

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. - Hossein Hajipour; Ning Yu 006; Cristian-Alexandru Staicu; Mario Fritz (NAACL-HLT (Findings), 2024)

Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. - Yuancheng Xu; Jiarui Yao; Manli Shu; Yanchao Sun; Zichu Wu; Ning Yu 006; Tom Goldstein; Furong Huang (NeurIPS, 2024)

DifFRelight: Diffusion-Based Facial Performance Relighting. - Mingming He; Pascal Clausen; Ahmet Levent Tasel; Li Ma; Oliver Pilarski; Wenqi Xian; Laszlo Rikker; Xueming Yu; Ryan D. Burgert; Ning Yu 006; Paul E. Debevec (SIGGRAPH Asia, 2024)

Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. - Minxing Zhang; Ning Yu 006; Rui Wen 002; Michael Backes 001; Yang Zhang 016 (WACV, 2024)

Text2Data: Low-Resource Data Generation with Textual Control. - Shiyu Wang; Yihao Feng; Tian Lan 006; Ning Yu 006; Yu Bai 017; Ran Xu 001; Huan Wang 014; Caiming Xiong; Silvio Savarese (CoRR, 2024)

Reference-Based 3D-Aware Image Editing with Triplane. - Bahri Batuhan Bilecen; Yigit Yalin; Ning Yu 006; Aysegul Dundar (CoRR, 2024)

Jailbreaking Text-to-Image Models with LLM-Based Agents. - Yingkai Dong; Zheng Li 023; Xiangtao Meng; Ning Yu 006; Shanqing Guo (CoRR, 2024)

Membership Inference Attack Against Masked Image Modeling. - Zheng Li 023; Xinlei He 001; Ning Yu 006; Yang Zhang 016 (CoRR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

Text2Data: Low-Resource Data Generation with Textual Control. - Shiyu Wang; Yihao Feng; Tian Lan 006; Ning Yu 006; Yu Bai 017; Ran Xu 001; Huan Wang 016; Caiming Xiong; Silvio Savarese (AAAI, 2025)

Reference-Based 3D-Aware Image Editing with Triplanes. - Bahri Batuhan Bilecen; Yigit Yalin; Ning Yu 006; Aysegul Dundar (CVPR, 2025)

Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise. - Ryan D. Burgert; Yuancheng Xu; Wenqi Xian; Oliver Pilarski; Pascal Clausen; Mingming He; Li Ma; Yitong Deng; Lingxiao Li; Mohsen Mousavi; Michael S. Ryoo; Paul E. Debevec; et al. (CVPR, 2025)

Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset. - Yiqun Mei; Mingming He; Li Ma; Julien Philip; Wenqi Xian; David M. George; Xueming Yu; Gabriel Dedic; Ahmet Levent Tasel; Ning Yu 006; Vishal M. Patel; Paul E. Debevec (CVPR, 2025)

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-to-Image Generation Models. - Yingkai Dong; Xiangtao Meng; Ning Yu 006; Zheng Li 023; Shanqing Guo (SP, 2025)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (Zenodo, 2025)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts. - Yixin Wu 001; Ning Yu 006; Michael Backes 001; Yun Shen; Yang Zhang 016 (Zenodo, 2025)

FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution. - Gene Chou; Wenqi Xian; Guandao Yang; Mohamed Abdelfattah; Bharath Hariharan; Noah Snavely; Ning Yu 006; Paul E. Debevec (CoRR, 2025)

Survey of Video Diffusion Models: Foundations, Implementations, and Applications. - Yimu Wang; Xuye Liu; Wei Pang; Li Ma; Shuai Yuan; Paul E. Debevec; Ning Yu 006 (CoRR, 2025)