{"list":"other","total":75,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1911.05722","title":"Momentum Contrast for Unsupervised Visual Representation Learning","created":"2019-11-13","cited_by_count":7513},{"id":"1412.6572","title":"Explaining and Harnessing Adversarial Examples","created":"2014-12-20","cited_by_count":7364},{"id":"1812.04948","title":"A Style-Based Generator Architecture for Generative Adversarial Networks","created":"2018-12-12","cited_by_count":6013},{"id":"1912.04958","title":"Analyzing and Improving the Image Quality of StyleGAN","created":"2019-12-03","cited_by_count":3588},{"id":"1710.10196","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","created":"2017-10-27","cited_by_count":2988},{"id":"1511.06434","title":"Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks","created":"2015-11-19","cited_by_count":2054},{"id":"2106.12423","title":"Alias-Free Generative Adversarial Networks","created":"2021-06-23","cited_by_count":1184},{"id":"1711.09020","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","created":"2017-11-24","cited_by_count":1039},{"id":"2101.01169","title":"Transformers in Vision: A Survey","created":"2021-01-04","cited_by_count":1013},{"id":"1902.06531","title":"STRIP: A Defence Against Trojan Attacks on Deep Neural Networks","created":"2019-02-18","cited_by_count":459},{"id":"2103.01856","title":"Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain","created":"2021-03-02","cited_by_count":244},{"id":"2007.08457","title":"Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data","created":"2020-07-16","cited_by_count":201},{"id":"2111.09794","title":"A Survey of Zero-shot Generalisation in Deep Reinforcement Learning","created":"2021-11-18","cited_by_count":170},{"id":"1901.02212","title":"FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals","created":"2019-01-08","cited_by_count":145},{"id":"1903.06836","title":"Detecting GAN generated Fake Images using Co-occurrence Matrices","created":"2019-03-15","cited_by_count":124},{"id":"2211.16152","title":"Wavelet Diffusion Models are fast and scalable Image Generators","created":"2022-11-29","cited_by_count":117},{"id":"1812.02510","title":"ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection","created":"2018-12-06","cited_by_count":104},{"id":"2211.07740","title":"Denoising diffusion models for out-of-distribution detection","created":"2022-11-14","cited_by_count":104},{"id":"2109.14910","title":"CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations","created":"2021-09-30","cited_by_count":72},{"id":"2305.00942","title":"StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video","created":"2023-05-01","cited_by_count":52},{"id":"2211.11296","title":"SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes","created":"2022-11-21","cited_by_count":49},{"id":"2003.10596","title":"Adversarial Perturbations Fool Deepfake Detectors","created":"2020-03-24","cited_by_count":48},{"id":"2104.11408","title":"Neural Mean Discrepancy for Efficient Out-of-Distribution Detection","created":"2021-04-23","cited_by_count":42},{"id":"2103.00070","title":"Knowledge-aware Zero-Shot Learning: Survey and Perspective","created":"2021-02-26","cited_by_count":41},{"id":"2304.13085","title":"AI-Synthesized Voice Detection Using Neural Vocoder Artifacts","created":"2023-04-25","cited_by_count":41},{"id":"2206.00477","title":"Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations","created":"2022-06-01","cited_by_count":39},{"id":"2211.07893","title":"Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges","created":"2022-11-15","cited_by_count":34},{"id":"2006.07533","title":"FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction","created":"2020-06-13","cited_by_count":33},{"id":"2212.04970","title":"Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers","created":"2022-12-09","cited_by_count":33},{"id":"1807.00458","title":"Adversarial Perturbations Against Real-Time Video Classification Systems","created":"2018-07-02","cited_by_count":32},{"id":"2012.03110","title":"Spectral Distribution Aware Image Generation","created":"2020-12-05","cited_by_count":29},{"id":"2010.14356","title":"Upsampling artifacts in neural audio synthesis","created":"2020-10-27","cited_by_count":28},{"id":"1910.08732","title":"Coordinated Joint Multimodal Embeddings for Generalized Audio-Visual Zeroshot Classification and Retrieval of Videos","created":"2019-10-19","cited_by_count":27},{"id":"2202.00046","title":"Finding Directions in GAN's Latent Space for Neural Face Reenactment","created":"2022-01-31","cited_by_count":27},{"id":"2205.05173","title":"Self-Supervised Anomaly Detection in Computer Vision and Beyond: A Survey and Outlook","created":"2022-05-10","cited_by_count":24},{"id":"2407.04053","title":"Edge AI: A Taxonomy, Systematic Review and Future Directions","created":"2024-07-04","cited_by_count":21},{"id":"2104.11507","title":"DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning","created":"2021-04-23","cited_by_count":20},{"id":"2403.07240","title":"Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning","created":"2024-03-12","cited_by_count":20},{"id":"2308.12558","title":"Hyperbolic Audio-visual Zero-shot Learning","created":"2023-08-24","cited_by_count":19},{"id":"2311.06329","title":"A Survey of AI Text-to-Image and AI Text-to-Video Generators","created":"2023-11-10","cited_by_count":17},{"id":"2401.10113","title":"Exposing Lip-syncing Deepfakes from Mouth Inconsistencies","created":"2024-01-18","cited_by_count":15},{"id":"2103.15750","title":"Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design","created":"2021-03-25","cited_by_count":13},{"id":"2302.13156","title":"Why Do Facial Deepfake Detectors Fail?","created":"2023-02-25","cited_by_count":12},{"id":"2305.14677","title":"Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models","created":"2023-05-24","cited_by_count":12},{"id":"2311.00469","title":"Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos","created":"2023-11-01","cited_by_count":12},{"id":"2009.09213","title":"Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering","created":"2020-09-19","cited_by_count":10},{"id":"2103.11093","title":"Exploring The Effect of High-frequency Components in GANs Training","created":"2021-03-20","cited_by_count":10},{"id":"2309.11705","title":"Meta OOD Learning for Continuously Adaptive OOD Detection","created":"2023-09-21","cited_by_count":10},{"id":"2402.02209","title":"On the Exploitation of DCT-Traces in the Generative-AI Domain","created":"2024-02-03","cited_by_count":9},{"id":"1906.03038","title":"A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation","created":"2019-06-07","cited_by_count":8},{"id":"2206.13829","title":"Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection","created":"2022-06-28","cited_by_count":8},{"id":"2402.08750","title":"Towards the Detection of AI-Synthesized Human Face Images","created":"2024-02-13","cited_by_count":8},{"id":"2007.15271","title":"Dynamic texture analysis for detecting fake faces in video sequences","created":"2020-07-30","cited_by_count":7},{"id":"2009.13714","title":"Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations","created":"2020-09-29","cited_by_count":7},{"id":"2502.17485","title":"Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises","created":"2025-02-18","cited_by_count":7},{"id":"2203.15563","title":"Attacker Attribution of Audio Deepfakes","created":"2022-03-28","cited_by_count":6},{"id":"2205.15814","title":"Contrasting quadratic assignments for set-based representation learning","created":"2022-05-31","cited_by_count":6},{"id":"2304.09024","title":"Look ATME: The Discriminator Mean Entropy Needs Attention","created":"2023-04-18","cited_by_count":6},{"id":"2304.12550","title":"Combining Adversaries with Anti-adversaries in Training","created":"2023-04-25","cited_by_count":6},{"id":"2307.15019","title":"Self-Supervised Graph Transformer for Deepfake Detection","created":"2023-07-27","cited_by_count":6},{"id":"2410.01906","title":"Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking","created":"2024-10-02","cited_by_count":6},{"id":"2207.03809","title":"UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection","created":"2022-07-08","cited_by_count":5},{"id":"2403.05093","title":"Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile","created":"2024-03-08","cited_by_count":4},{"id":"1908.02199","title":"MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks","created":"2019-08-06","cited_by_count":3},{"id":"2207.07080","title":"An Asymmetric Contrastive Loss for Handling Imbalanced Datasets","created":"2022-07-14","cited_by_count":3},{"id":"2311.10788","title":"Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors","created":"2023-11-17","cited_by_count":3},{"id":"2312.01167","title":"Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning","created":"2023-12-02","cited_by_count":3},{"id":"1712.05380","title":"The Potential Impact of Quantum Computers on Society","created":"2017-12-14","cited_by_count":2},{"id":"2204.08612","title":"Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors","created":"2022-04-19","cited_by_count":2},{"id":"2411.17684","title":"RealSeal: Revolutionizing Media Authentication with Real-Time Realism Scoring","created":"2024-11-26","cited_by_count":2},{"id":"2003.00845","title":"Addressing target shift in zero-shot learning using grouped adversarial learning","created":"2020-03-02","cited_by_count":1},{"id":"2203.00108","title":"MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment","created":"2022-02-28","cited_by_count":1},{"id":"2404.16179","title":"S2DEVFMAP: Self-Supervised Learning Framework with Dual Ensemble Voting Fusion for Maximizing Anomaly Prediction in Timeseries","created":"2024-04-24","cited_by_count":1},{"id":"2405.05170","title":"Picking watermarks from noise (PWFN): an improved robust watermarking model against intensive distortions","created":"2024-05-08","cited_by_count":1}],"next_cursor":null}