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SPAR-3D Workshop: Security, Privacy, and Adversarial Robustness in 3D Generative Vision Models
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SPAR-3D Workshop: Security, Privacy, and Adversarial Robustness in 3D Generative Vision Models
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With rapid advances in computer vision and graphics, 3D scene reconstruction and understanding have become increasingly central to modern visual computing. Methods such as Neural Radiance Fields (NeRF), 3D Gaussian Splatting, 3D diffusion, and vision-language-3D frameworks enable real-time scene rendering and are widely applied in drone operations, cultural heritage, and autonomous driving. However, these systems face security, privacy, and provenance challenges, including adversarial geometry perturbations, data leakage, and model inversion. The SPAR-3D workshop brings together the 3D vision, AI security, and multimodal reasoning communities to advance robustness, traceability, and trustworthy 3D generative systems.

2026 Photos: https://drive.google.com/drive/folders/1CkL139HTGLHmN8lPXbqaQBoq0bQprARP?usp=sharing

Invited Speakers

Prof. Avideh Zakhor

UC Berkeley

Prof. Polo Chau

Georgia Tech

Prof. John Collomosse

Adobe & University of Surrey

Prof. Sangpil Kim

Korea University

Organizers

Nicole Meng

Primary Organizer

Tufts University

Allen Tu

University of Maryland

Prof. Yingjie Lao

Secondary Organizer

Tufts University

Josué Martínez-Martínez

Orbis Operations

Prof. Francis Engelmann

Università della Svizzera italiana

Prof. Dongjin Song

University of Connecticut

Ethan Rathbun

Northeastern University

Prof. Faysal Hossain Shezan

University of Texas-Arlington

Prof. Shaoyi Huang

Stevens Institute of Technology

Prof. Renjie Wan

Hong Kong Baptist University

Workshop Schedule - June 4th 2026

8:00 – 8:05 AM
Welcome & Introduction (5 min)

8:05 – 8:35 AM
Keynote 1: Prof. Avideh Zakhor (30 min)

8:35 – 8:40 AM
Transition Break (5 min)

8:40 – 9:10 AM
Keynote 2: Prof. Sangpil Kim (30 min)

9:10– 9:30 AM
Oral Presentation 1: Training-free Multi-view 4D Human Motion Reconstruction Virtual Reality System (20 min)

9:30 – 9:50 AM
Oral Presentation 2: Surgical Gaussian Surfels: Highly Accurate Real-time Surgical Scene Rendering using Gaussian Surfels (20 min)

9:50 – 10:05 AM
Lightning Poster Introductions (10 min)

10:05 – 10:35 AM
Poster Session & Coffee Break (30 min)

10:35 – 11:05 AM
Keynote 3: Prof. Duen Horng (Polo) Chau (30 min)

11:05– 11:10 AM
Transition Break (5 min)

11:10 – 11:40 AM
Keynote 4: Prof. John Colomosse (30 min)

11:40 – 11:45 AM
Transition Break (5 min)

11:45 – 11:55 AM
Best Paper Award Ceremony & Closing Remarks (10 min)

Accepted Posters

  • AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing

    Ziming Hong, Tianyu Huang, Runnan Chen, Shanshan Ye, Mingming Gong, Bo Han, Tongliang Liu

  • On the Adversarial Robustness of Temporal LiDAR Object Detectors

    Mellon M. Zhang, Siddhant Panse, Akshal Dhal, Rishit Sarkar, Zimo Fan, Glen Chou

  • Multi-View Provenance Collapse: Attacking and Evaluating Trust in Neural 3D Scene Representations

    Mahule Roy, Subhas Roy

  • F3DGS: Federated 3D Gaussian Splatting for Decentralized Multi-Agent World Modeling

    Morui Zhu, Mohammad Dehghani Tezerjani, Matyas Szanto, Márton Vaitkus, Song Fu, Qing Yang

  • SkelSplat: Robust Multi-view 3D Human Pose Estimation with Differentiable Gaussian Rendering

    Laura Bragagnolo, Leonardo Barcellona, Davide Allegro, Stefano Ghidoni

  • Revisiting Retentive Networks for Fast Range-View 3D LiDAR Semantic Segmentation

    Simone Mosco, Daniel Fusaro, Wanmeng Li, Alberto Pretto

  • PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction

    Prajas Wadekar, Venkata Sai Pranav Bachina, Kunal Bhosikar, Ankit Gangwal, Charu Sharma

  • Geometry-Preserving Robust Neural Reconstruction via Statistical Reweighting

    Jiyoon Shin

  • Inpaint360GS: Efficient Object-Aware 3D Inpainting via Gaussian Splatting for 360° Scenes

    Shaoxiang Wang, Shihong Zhang, Christen Millerdurai, Rüdiger Westermann, Didier Stricker, Alain Pagani

  • Neural Radiance Fields for Image Verification

    Sage Simhon, Jingwei Ma, Prafull Sharma, Lucy Chai, Yen-Chen Lin, Phillip Isola

  • Adversarial Defense in Gaussian Splatting Using 3D Gaussian Filtering

    Md Mahedi Hasan Rigan, Nicole Meng, Miao Yin, Yingjie Lao, Faysal Hossain Shezan

  • Perceptually-Guided Sparse Pixel Attacks Break Compressed AIGC-IQA Models

    Tushar Shinde

  • AdaCRAD: Adaptive Compression via Representation-Aware Drift for Ranking Preservation in AIGC-IQA

    Tushar Shinde, Sreejita Roy

Sponsor

The SPAR-3D Workshop is sponsored by STR: https://str.us/