{"list":"other","total":61,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863},{"id":"2011.13456","title":"Score-Based Generative Modeling through Stochastic Differential Equations","created":"2020-11-26","cited_by_count":9122},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255},{"id":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"id":"1907.05600","title":"Generative Modeling by Estimating Gradients of the Data Distribution","created":"2019-07-12","cited_by_count":4101},{"id":"1411.7766","title":"Deep Learning Face Attributes in the Wild","created":"2014-11-28","cited_by_count":3693},{"id":"1610.05820","title":"Membership Inference Attacks against Machine Learning Models","created":"2016-10-18","cited_by_count":2281},{"id":"2001.07685","title":"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence","created":"2020-01-21","cited_by_count":2085},{"id":"1610.02413","title":"Equality of Opportunity in Supervised Learning","created":"2016-10-07","cited_by_count":2007},{"id":"1802.05957","title":"Spectral Normalization for Generative Adversarial Networks","created":"2018-02-16","cited_by_count":1636},{"id":"1410.8516","title":"NICE: Non-linear Independent Components Estimation","created":"2014-10-30","cited_by_count":1058},{"id":"1712.05526","title":"Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning","created":"2017-12-15","cited_by_count":1055},{"id":"2006.09011","title":"Improved Techniques for Training Score-Based Generative Models","created":"2020-06-16","cited_by_count":1043},{"id":"2112.03570","title":"Membership Inference Attacks From First Principles","created":"2021-12-07","cited_by_count":878},{"id":"1601.06759","title":"Pixel Recurrent Neural Networks","created":"2016-01-25","cited_by_count":816},{"id":"1807.00459","title":"How To Backdoor Federated Learning","created":"2018-07-02","cited_by_count":765},{"id":"1801.04062","title":"MINE: Mutual Information Neural Estimation","created":"2018-01-12","cited_by_count":683},{"id":"1609.02943","title":"Stealing Machine Learning Models via Prediction APIs","created":"2016-09-09","cited_by_count":619},{"id":"1803.02453","title":"A Reductions Approach to Fair Classification","created":"2018-03-06","cited_by_count":587},{"id":"1805.04049","title":"Exploiting Unintended Feature Leakage in Collaborative Learning","created":"2018-05-10","cited_by_count":520},{"id":"1806.01246","title":"ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models","created":"2018-06-04","cited_by_count":498},{"id":"1911.11815","title":"Local Model Poisoning Attacks to Byzantine-Robust Federated Learning","created":"2019-11-26","cited_by_count":493},{"id":"1712.07557","title":"Differentially Private Federated Learning: A Client Level Perspective","created":"2017-12-20","cited_by_count":459},{"id":"2209.15421","title":"TabDDPM: Modelling Tabular Data with Diffusion Models","created":"2022-09-30","cited_by_count":377},{"id":"2012.13995","title":"FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping","created":"2020-12-27","cited_by_count":346},{"id":"1702.07464","title":"Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning","created":"2017-02-24","cited_by_count":334},{"id":"2210.07574","title":"Is synthetic data from generative models ready for image recognition?","created":"2022-10-14","cited_by_count":320},{"id":"2103.04922","title":"Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models","created":"2021-03-08","cited_by_count":252},{"id":"1708.08689","title":"Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization","created":"2017-08-29","cited_by_count":197},{"id":"1901.04966","title":"Identifying and Correcting Label Bias in Machine Learning","created":"2019-01-15","cited_by_count":146},{"id":"2010.10152","title":"Feature Inference Attack on Model Predictions in Vertical Federated Learning","created":"2020-10-20","cited_by_count":106},{"id":"1811.11212","title":"Self-Supervised GANs via Auxiliary Rotation Loss","created":"2018-11-27","cited_by_count":94},{"id":"2302.02503","title":"Leaving Reality to Imagination: Robust Classification via Generated Datasets","created":"2023-02-05","cited_by_count":91},{"id":"2302.03298","title":"Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion","created":"2023-02-07","cited_by_count":81},{"id":"2209.13167","title":"A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images","created":"2022-09-27","cited_by_count":74},{"id":"2101.11073","title":"Property Inference From Poisoning","created":"2021-01-26","cited_by_count":60},{"id":"2004.07401","title":"Poisoning Attacks on Algorithmic Fairness","created":"2020-04-15","cited_by_count":59},{"id":"2208.11296","title":"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey","created":"2022-08-24","cited_by_count":52},{"id":"2012.08723","title":"Exacerbating Algorithmic Bias through Fairness Attacks","created":"2020-12-16","cited_by_count":47},{"id":"2006.00080","title":"Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data","created":"2020-05-29","cited_by_count":38},{"id":"2006.08669","title":"On Adversarial Bias and the Robustness of Fair Machine Learning","created":"2020-06-15","cited_by_count":36},{"id":"2111.07608","title":"Property Inference Attacks Against GANs","created":"2021-11-15","cited_by_count":33},{"id":"2105.00026","title":"Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder","created":"2021-04-30","cited_by_count":27},{"id":"2104.09284","title":"LAFEAT: Piercing Through Adversarial Defenses with Latent Features","created":"2021-04-19","cited_by_count":24},{"id":"1906.07773","title":"Poisoning Attacks with Generative Adversarial Nets","created":"2019-06-18","cited_by_count":23},{"id":"2302.04355","title":"MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model","created":"2023-02-08","cited_by_count":23},{"id":"2110.08932","title":"Poisoning Attacks on Fair Machine Learning","created":"2021-10-17","cited_by_count":19},{"id":"1801.04378","title":"Fairness in Supervised Learning: An Information Theoretic Approach","created":"2018-01-13","cited_by_count":17},{"id":"2105.11069","title":"InfoFair: Information-Theoretic Intersectional Fairness","created":"2021-05-24","cited_by_count":15},{"id":"2309.02160","title":"Bias Propagation in Federated Learning","created":"2023-09-05","cited_by_count":12},{"id":"2212.05404","title":"Cap2Aug: Caption guided Image to Image data Augmentation","created":"2022-12-11","cited_by_count":10},{"id":"2310.10483","title":"Passive Inference Attacks on Split Learning via Adversarial Regularization","created":"2023-10-16","cited_by_count":9},{"id":"2203.04961","title":"Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification","created":"2022-03-08","cited_by_count":7},{"id":"1808.06809","title":"Are You Tampering With My Data?","created":"2018-08-21","cited_by_count":6},{"id":"2103.06179","title":"Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing","created":"2021-03-10","cited_by_count":6},{"id":"2105.07754","title":"A Fusion-Denoising Attack on InstaHide with Data Augmentation","created":"2021-05-17","cited_by_count":4},{"id":"2204.05472","title":"Breaking Fair Binary Classification with Optimal Flipping Attacks","created":"2022-04-12","cited_by_count":4},{"id":"2211.04157","title":"Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack","created":"2022-11-08","cited_by_count":1}],"next_cursor":null}