Research papers we have studied

To develop the app, we study leading research papers on plagiarism detection, video processing and perceptual hashing. We have already studied the papers in this list:

  1. Image Noise and Digital Image Forensics
  2. Video source camera identification using fusion of texture features and noise fingerprint
  3. Camera Fingerprint Extraction via Spatial Domain Averaged Frames
  4. Prnu Pattern Alignment for Images and Videos Based on Scene Content
  5. MPEG-2 to HEVC Video Transcoding With Content-Based Modeling
  6. Error-resilient video transcoding for robust internetwork communications using GPRS
  7. Exposing Video Compression History by Detecting Transcoded HEVC Videos from AVC Coding
  8. Efficient Bit Rate Transcoding for High Efficiency Video Coding
  9. Requantization transcoding for H.264/AVC video coding
  10. A practical design of digital watermarking for video streaming services
  11. End-To-End Security for Video Distribution: The Combination of Encryption, Watermarking, and Video Adaptation
  12. H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
  13. Effectiveness of crypto-transcoding for H.264/AVC and HEVC video bit-streams
  14. Video Content-Based Bit Rate Estimation Scheme for Transcoding in IPTV Services
  15. Region-of-interest determination and bit-rate conversion for H.264 video transcoding
  16. A Watermarking Scheme for High Efficiency Video Coding (HEVC)
  17. A fast full partitioning algorithm for HEVC-to-VVC video transcoding using Bayesian classifiers
  18. Blockchain-Enabled Intelligent Video Caching and Transcoding in Clustered MEC Networks
  19. Mode decision acceleration for H.264/AVC to SVC temporal video transcoding
  20. Practical, Real-Time, and Robust Watermarking on the Spatial Domain for High-Definition Video Contents
  21. Active Video Watermarking Technique for Infectious Information Hiding System
  22. Interframe Forgery Video Detection: Datasets, Methods, Challenges, and Search Directions
  23. Distributed Video Transcoding for Live and Interactive Multimedia Applications
  24. Static Video Summarization Using Video Coding Features with Frame-Level Temporal Subsampling and Deep Learning
  25. Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development
  26. RST-Resilient Video Watermarking Using Scene-Based Feature Extraction
  27. A context-aware architecture for QoS and transcoding management of multimedia streams in smart homes
  28. A Fragile Watermarking Method for Content-Authentication of H.264-AVC Video
  29. Subjective quality assessment of scalable video coding: A survey
  30. Use of Statistically Adaptive Accumulation to Improve Video Watermark Detection
  31. Low-complexity transcoding algorithm from H.264/AVC to SVC using data mining
  32. Delay - aware bandwidth estimation and intelligent video transcoder in mobile cloud
  33. Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
  34. Generalization of Audio Deepfake Detection
  35. Improving Deepfake Detection Generalization by Invariant Risk Minimization
  36. Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
  37. Preserving Fairness Generalization in Deepfake Detection
  38. Generalization of Forgery Detection With Meta Deepfake Detection Model
  39. Domain Generalization via Aggregation and Separation for Audio Deepfake Detection
  40. Improving Generalization of Deepfake Detection With Data Farming and Few-Shot Learning
  41. Deepfake Detection: Analyzing Model Generalization Across Architectures, Datasets, and Pre-Training Paradigms
  42. Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection
  43. ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
  44. CDNet: Cluster Decision for Deepfake Detection Generalization
  45. Improving Generalization of Deepfake Detection by Training for Attribution
  46. On the Generalization of Deep Learning Models in Video Deepfake Detection
  47. Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection
  48. UCF: Uncovering Common Features for Generalizable Deepfake Detection
  49. Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection
  50. C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
  51. Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection
  52. AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake
  53. Improving the Generalization Ability of Deepfake Detection via Disentangled Representation Learning
  54. Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
  55. Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
  56. Protecting Celebrities from DeepFake with Identity Consistency Transformer
  57. The Face Deepfake Detection Challenge
  58. Leveraging facial landmarks improves generalization ability for deepfake detection
  59. An Improved Dense CNN Architecture for Deepfake Image Detection
  60. TALL: Thumbnail Layout for Deepfake Video Detection
  61. Harder or Different? Understanding Generalization of Audio Deepfake Detection
  62. Audio-Visual Person-of-Interest DeepFake Detection
  63. Deepfake detection with domain generalization and mask-guided supervision
  64. DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer
  65. Implicit Identity Driven Deepfake Face Swapping Detection
  66. Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation
  67. ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection
  68. FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
  69. C2PA Provenance Labels Increase Trust in News Platforms Across Western Countries
  70. Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
  71. Enabling Live Video Provenance and Authenticity: A C2PA-Based System with TPM-Based Security for Livestreaming Platforms
  72. Deepfake detection in generative AI: A legal framework proposal to protect human rights
  73. Data Authenticity, Consent, and Provenance for AI Are All Broken: What Will It Take to Fix Them?
  74. Content Authenticities: A Discussion on the Values of Provenance Data for Creatives and Their Audiences
  75. Generative AI and deepfakes: a human rights approach to tackling harmful content
  76. Ensuring privacy in provenance information for images
  77. Interoperable Provenance Authentication of Broadcast Media using Open Standards-based Metadata, Watermarking and Cryptography
  78. EKILA: Synthetic Media Provenance and Attribution for Generative Art
  79. Deepfake Fraud Detection: Safeguarding Trust in Generative Ai
  80. Janus: Fast Privacy-Preserving Data Provenance For TLS
  81. Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
  82. Self-Sovereign Identities and Content Provenance: VeriTrust—A Blockchain-Based Framework for Fake News Detection
  83. Artificial Intelligence, Deepfakes, and Disinformation: A Primer
  84. Detection and Provenance: A Solution to Deepfakes?
  85. Towards Privacy-Enhancing Provenance Annotations for Images
  86. What we know and don’t know about deepfakes: An investigation into the state of the research and regulatory landscape
  87. Mitigating the harms of manipulated media: Confronting deepfakes and digital deception
  88. Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short
  89. Deepfakes and Synthetic Media: Generation, Detection, and Governance
  90. C2PA Provenance Labels Increase Trust in Digital News Platforms Across Western Countries
  91. On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
  92. SoK: Watermarking for AI-Generated Content
  93. The Deepfake Conundrum: Assessing Generative AI's Threat to Digital Reality and Proposing a Multi-Layered Defense Framework
  94. Decent deepfakes? Professional deepfake developers’ ethical considerations and their governance potential
  95. Verifying Provenance of Digital Media: Security Analysis of C2PA and its Implementation
  96. A Study on Broker-Assisted Blockchain Trust Chains for Provenance and Integrity Verification of Generative Media Using Watermarking, Semantic Fingerprinting, and C2PA
  97. Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive Forensics
  98. Decentralized Proof-of-Location for Content Provenance: Towards Capture-Time Authenticity
  99. Risk governance and the rise of deepfakes
  100. CAMPrints: Leveraging the "Fingerprints" of Digital Cameras to Combat Image Theft
  101. Forensic analysis of video file formats
  102. Forensic analysis of video files using metadata
  103. Guidelines on cell phone forensics
  104. Guidelines on mobile device forensics
  105. Investigating And Prosecuting Cyber Crime: Forensic Dependencies And Barriers To Justice
  106. Availability of datasets for digital forensics – And what is missing
  107. Exposing Manipulated Photos and Videos in Digital Forensics Analysis
  108. Using purpose-built functions and block hashes to enable small block and sub-file forensics
  109. Media forensics on social media platforms: a survey
  110. Validation and verification of computer forensic software tools—Searching Function
  111. Time is on my side: Steganography in filesystem metadata
  112. The Significance of Metadata and Video Compression for Investigating Video Files on Social Media Forensic
  113. FloreView: An Image and Video Dataset for Forensic Analysis
  114. UAV Forensics: DJI Mini 2 Case Study
  115. Forensic source identification using JPEG image headers: The case of smartphones
  116. Data provenance for cloud forensic investigations, security, challenges, solutions and future perspectives: A survey
  117. Data reduction and data mining framework for digital forensic evidence: Storage, intelligence, review and archive
  118. Digital transformation risk management in forensic science laboratories
  119. Overview of the Forensic Investigation of Cloud Services
  120. Private browsing: A window of forensic opportunity
  121. Forensic analysis of Kik messenger on iOS devices
  122. A Survey on Forensics and Compliance Auditing for Critical Infrastructure Protection
  123. Drone Forensics: An Innovative Approach to the Forensic Investigation of Drone Accidents Based on Digital Twin Technology
  124. Guidelines on PDA forensics
  125. Artificial Intelligence‐Based Cyber Security and Digital Forensics
  126. Digital Forensics and Preservation
  127. FAIRness in digital forensics datasets’ metadata – and how to improve it
  128. CuFA: A more formal definition for digital forensic artifacts
  129. Digital Video Source Identification Based on Container’s Structure Analysis
  130. The State of the Art Forensic Techniques in Mobile Cloud Environment
  131. An Overview of Recent Work in Media Forensics: Methods and Threats
  132. Forensic Analysis of Social Networking Applications on an Android Smartphone
  133. What’s on the Horizon? An In-Depth Forensic Analysis of Android and iOS Applications
  134. Methods and Tools of Digital Triage in Forensic Context: Survey and Future Directions
  135. Techniques and Tools for Forensic Investigation of E-mail
  136. Automated Forensic Recovery Methodology for Video Evidence from Hikvision and Dahua DVR/NVR Systems
  137. Educating judges, prosecutors and lawyers in the use of digital forensic experts
  138. Digital Profiling: A Computer Forensics Approach
  139. Forensic analysis of a Sony PlayStation 4: A first look
  140. Surrey University Library for Forensic Analysis (SULFA) of video content
  141. A New Forensic Video Database for Source Smartphone Identification: Description and Analysis
  142. Identification and recovery of video fragments for forensics file carving
  143. CoFFEE: a codec-based forensic feature extraction and evaluation software for H.264 videos
  144. Windows Instant Messaging App Forensics: Facebook and Skype as Case Studies
  145. Realising a Push Button Modality for Video-Based Forensics
  146. CNN-Based Video Codec Classifier For Multimedia Forensics
  147. Deep Learning for Multimedia Forensics
  148. Security and Forensics Exploration of Learning-based Image Coding
  149. Avoiding overstating the strength of forensic evidence: Shrunk likelihood ratios/Bayes factors
  150. Review of Image Forensic Techniques Based on Deep Learning
  151. Cloud and Edge Computing-Based Computer Forensics: Challenges and Open Problems
  152. Forensic Analysis of Immersive Virtual Reality Social Applications: A Primary Account
  153. A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector
  154. Forensic Facial Comparison: Current Status, Limitations, and Future Directions
  155. Overview of Image Inpainting and Forensic Technology
  156. Meta and Media Data Stream Forensics in the Encrypted Domain of Video Conferences
  157. Video tampering localisation using features learned from authentic content
  158. Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach
  159. The Video Authentication and Camera Identification Database: A New Database for Video Forensics
  160. Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications
  161. Learning Double-Compression Video Fingerprints Left From Social-Media Platforms
  162. If these crawls could talk: Studying and documenting web archives provenance
  163. Network and device forensic analysis of Android social-messaging applications
  164. Do deepfake videos undermine our epistemic trust? A thematic analysis of tweets that discuss deepfakes in the Russian invasion of Ukraine
  165. Fighting Deepfakes: Media and Internet Giants’ Converging and Diverging Strategies Against Hi-Tech Misinformation
  166. Bridging the Data Provenance Gap Across Text, Speech and Video
  167. PRNU-based Image Classification of Origin Social Network with CNN
  168. Data Provenance for Cloud Computing using Watermark
  169. A Prototype Framework for Assessing Information Provenance in Decentralised Social Media: The EUNOMIA Concept
  170. An Adaptive Image-based Plagiarism Detection Approach
  171. Plagiarism detection of figure images in scientific publications
  172. Visual plagiarism in interior design: is it easy to recognise?
  173. SICO: A System for Detection of Near-Duplicate Images During Search
  174. A Novel Approach for Detecting Near-Duplicate Web Documents by Considering Images, Text, Size of the Document and Domain
  175. Siamese coding network and pair similarity prediction for near-duplicate image detection
  176. A Gabor Feature-Based Quality Assessment Model for the Screen Content Images
  177. Monetizing a Meme: YouTube, Content ID, and the Harlem Shake
  178. Copyright Issues on the Prank Video on the Youtube
  179. Circulation Gatekeepers: Unbundling the Platform Politics of YouTube's Content ID
  180. Fair Users or Content Abusers? The Automatic Flagging of Non-Infringing Videos by Content ID on YouTube
  181. The Death of Fair Use in Cyberspace: YouTube and the Problem With Content ID
  182. The treachery of images: non-fungible tokens and copyright
  183. Legal Analysis Of Copyright Issues In Youtube Content Reviewed From Law Number 28 Of 2014 On Copyright
  184. YouTube or YouLose? Can YouTube Survive a Copyright Infringement Lawsuit
  185. COPYRIGHT ISSUE ON MUSIC BACK SOUND USAGE ON YOUTUBE VIDEO
  186. Copyright and YouTube: Pirate's Playground or Fair Use Forum?
  187. Mandate to overblock? Understanding the impact of the European Union's Article 17 on copyright content moderation on YouTube
  188. Defining Fair Use on YouTube: A Guide to Modern Copyright
  189. Copyright And The Economic Effects Of Parody: An Empirical Study Of Music Videos On The Youtube Platform, And An Assessment Of Regulatory Options
  190. Robust Image Deepfake Detection with Perceptual Hashing
  191. Perceptual Image Hashing Based on Disentangled and Invariant Feature Learning_supp1-3729389.pdf
  192. Video for Design Scheme of Perceptual Hashing based on Output of CNN for Digital Watermarking
  193. Perceptual Image Hashing and Machine Learning methods applied to prevent and fight against Cybercrime = Hash perceptual de imágenes y aprendizaje automático para prevenir y luchar contra el cibercrimen
  194. Compressive perceptual hashing tracking
  195. Perceptual image hashing algorithm-based on difference quantization of histogram and chaos system
  196. Detecting Duplicate Videos Via Perceptual Hashing
  197. Analysis of Perceptual Hashing for Threshold Values
  198. Perceptual hashing in the 3D-DWT domain
  199. Histogram-Based Perceptual Image Hashing in the DWT Domain
  200. Perceptual Hashing using Deep Learning Techniques