A Scriptable Tool for Photo Realistic Synthetic Image Generation Nathan Morrical (NVIDIA); Jonathan Tremblay (NVIDIA)*; Yunzhi Lin (Georgia Institute of Technology); Stephen Tyree (NVIDIA); Valerio Pascucci (University of Utah); Stan Birchfield (NVIDIA); Ingo Wald (NVIDIA)
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Privacy-preserving object detection Peiyang He (University of Oxford); Krzysztof Kacprzyk (University of Oxford); Artjom S Joosen (University of Oxford); Michael Collyer (University of Oxford); Charlie J Griffin (University of Oxford); Aleksandar Shtedritski (University of Oxford); Yuki M Asano (University of Oxford)*
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Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Niharika Jain (Arizona State University); Alberto Olmo (Arizona State University)*; Sailik Sengupta (Arizona State University); Lydia Manikonda (Rensselaer Polytechnic Institute); Subbarao Kambhampati (Arizona State University)
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Differentially Private Query Release Through Adaptive Projection Sergul Aydore (Amazon Web Services)*; William Brown (Columbia University); Michael Kearns (University of Pennsylvania); Krishnaram Kenthapadi (Amazon); Luca Melis (Amazon Web Services); Aaron Roth (University of Pennsylvania); Ankit A Siva (Amazon)
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Bayesian Perspective on Visual Data Augmentation for Efficient Utilization of Sub-sampled Data Joonhyun Jeong (Clova Face, NAVER Corp.); Sungmin Cha (Sungkyunkwan University); Youngjoon Yoo (Clova AI Research, NAVER Corp.)*; Sangdoo Yun (NAVER AI LAB); Jongwon Choi (Chung-Ang University)
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One-Shot GAN: Learning to Generate Samples from Single Images and Videos Vadim Sushko (Bosch Center for Artificial Intelligence)*; Jürgen Gall (University of Bonn); Anna Khoreva (Bosch Center for Artificial Intelligence)
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You Only Need Adversarial Supervision for Semantic Image Synthesis Edgar Schoenfeld (Bosch Center for Artificial Intelligence, Germany); Vadim Sushko (Bosch Center for Artificial Intelligence)*; Dan Zhang (Bosch Center for Artificial Intelligence); Jurgen Gall (University of Bonn); Bernt Schiele (MPI Informatics); Anna Khoreva (Bosch Center for Artificial Intelligence)
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Synthetic data for model selection Matan Fintz (Amazon); Alon Shoshan (Technion)*; Nadav Bhonker (Amazon); Igor Kviatkovsky (Amazon); gerard medioni (USC)
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Ensembles of GANs for synthetic training data generation Gabriel Eilertsen (Linköping University)*; Apostolia Tsirikoglou (Linköping University); Claes Lundström (Linköping University); Jonas Unger (Linköpings universitet)
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Leveraging Public Data for Practical Private Query Release Terrance Liu (Carnegie Mellon University)*; Giuseppe Vietri (University of Minnesota); Thomas Steinke (); Jonathan Ullman (Northeastern University); Steven Wu (Carnegie Mellon University)
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FFPDG: Fast, Fair and Private Data Generation Weijie Xu (Amazon)*; Jinjin Zhao (Amazon ); Francis Iannacci (Amazon); Bo Wang (Amazon)
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Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis Prateek Katiyar (Bosch Center for Artificial Intelligence)*; Anna Khoreva (Bosch Center for Artificial Intelligence)
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Towards creativity characterization of generative models via group-based subset scanning Celia Cintas (IBM Research Africa)*; Payel Das (IBM Research); Brian Quanz (IBM Research); Skyler D Speakman (IBM Research); Victor Akinwande (IBM Research); Pin-Yu Chen (IBM Research)
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Transitioning from Real to Synthetic data: Quantifying the bias in model Aman Gupta (Mastercard)*; Deepak Bhatt (Mastercard); Anubha Pandey (Mastercard)
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Few-shot learning via tensor hallucination Michalis ML Lazarou (Imperial College London)*; Tania Stathaki (Imperial College London); Yannis Avrithis (Inria)
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Unconditional Synthesis of Complex Scenes Using a semantic bottleneck Samaneh Azadi (University of California Berkeley )*; Michael Tschannen (Apple); Eric Tzeng (UC Berkeley); Sylvain Gelly (Google Brain); Trevor Darrell (UC Berkeley); Mario Lucic (Google Brain)
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Evaluating the Quality of Synthetic Images of Porous Media: A Morphological and Physics-Based Approach Kelly Guan (Stanford University)*; Anthony Kovscek (Stanford University); Timothy Anderson (Stanford University); Patrice Creux (Universite de Pau et des Pays de l'Adour)
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Joint Text and Label Generation for Spoken Language Understanding Yang Li (Department of Computer Science, University of North Carolina at Chapel Hill)*; Ben Athiwaratkun (Cornell University); Cicero Nogueira dos Santos (Amazon Web Services); Bing Xiang (Amazon)
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Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte (Max Planck Institute for Intelligent Systems)*; Jürgen Hetzel (University Hospital of Tübingen); Sergios Gatidis (University of Tübingen); Tobias Hepp (Max Planck Institute for Intelligent Systems); Benedikt Dietz (ETH Zurich); Stefan Bauer (Max Planck institute); Patrick Schwab (ETH Zurich)
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PrivSyn: Differentially Private Data Synthesis Zhikun Zhang (CISPA Helmholtz Center for Information Security)*; Tianhao Wang (Purdue University); Ninghui Li (Purdue University); Jean Honorio (Purdue); Michael Backes (CISPA Helmholtz Center for Information Security); Shibo He (Zhejiang University); Jiming Chen (Zhejiang University); Yang Zhang (CISPA)
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Privacy-preserving High-dimensional Data Collection with Federated Generative Autoencoder Xue Jiang (Technische Universität München)*; Xuebing Zhou (Huawei Technologies Düsseldorf GmbH); Jens Grossklags (Technische Universität München)
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What if I don't have in-domain unlabeled data for Semi-Supervised Learning? Well, generate some! Xuanli He ( Monash University)*; Islam H Nassar (Monash University); Jamie Kiros (Google); Reza Haffari (Monash University, Australia); Mohammad Norouzi (Google Research, Brain Team)
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Representative & Fair Synthetic Data Paul Tiwald (Mostly AI)*; Alexandra Ebert (MOSTLY AI); Daniel T Soukup (Independent Researcher)
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