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. Large-scale video copy retrieval with temporal-concentration SIFT
  2. Content Based Image Retrieval using Color and Texture
  3. Optimal differential energy watermarking of DCT encoded images and video
  4. Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
  5. Robust MPEG video watermarking technologies
  6. Cineast: A Multi-feature Sketch-Based Video Retrieval Engine
  7. Robust Content-Based Video Copy Identification in a Large Reference Database
  8. A Survey On: “Content Based Image Retrieval Systems”
  9. A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF
  10. Semi-supervised distance metric learning for collaborative image retrieval and clustering
  11. Semantic based image retrieval
  12. [Survey paper] A Review of Video Retrieval Based on Image and Video Semantic Understanding
  13. Screen Content Quality Assessment: Overview, Benchmark, and Beyond
  14. A Survey on Deepfake Video Detection
  15. Adaptive Hashing for Fast Similarity Search
  16. Adding Semantics to Detectors for Video Retrieval
  17. EVS-DK: Event video skimming using deep keyframe
  18. PIHA: Detection method using perceptual image hashing against query-based adversarial attacks
  19. Adversarial Detection Avoidance Attacks: Evaluating the robustness of\n perceptual hashing-based client-side scanning
  20. Recent Advances of Image Steganography With Generative Adversarial Networks
  21. Defending against adversarial examples using perceptual image hashing
  22. You See What I Want You to See: Exploring Targeted Black-Box Transferability Attack for Hash-based Image Retrieval Systems
  23. Geometrically Invariant Image Watermarking via Robust Perceptual Hashes
  24. Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy System
  25. Image splicing forgery detection by combining synthetic adversarial networks and hybrid dense U‐net based on multiple spaces
  26. JND-Guided Perceptually Color Image Watermarking in Spatial Domain
  27. Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
  28. Deepfake Forensics, an AI-synthesized Detection with Deep Convolutional Generative Adversarial Networks
  29. A Survey: Cryptographic Hash Functions for Digital Stamping
  30. BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
  31. Information Forensics: An Overview of the First Decade
  32. Cross-Gen: An Efficient Generator Network for Adversarial Attacks on Cross-Modal Hashing Retrieval
  33. Perceptual Hashing Using Pretrained Vision Transformers
  34. Robust Hashing Based on Quaternion Gyrator Transform for Image Authentication
  35. Non-Relaxation Deep Hashing Method for Fast Image Retrieval
  36. CNN-Based Adversarial Embedding for Image Steganography
  37. Adversarial frontier stitching for remote neural network watermarking
  38. Adversarial attacks on Copyright Detection Systems
  39. Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection
  40. Dual Protection for Image Privacy and Copyright via Traceable Adversarial Examples
  41. Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
  42. Invisible Adversarial Watermarking: A Novel Security Mechanism for Enhancing Copyright Protection
  43. Securing online integrity: a hybrid approach to deepfake detection and removal using Explainable AI and Adversarial Robustness Training
  44. Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution
  45. A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats
  46. A Robust Approach to Multimodal Deepfake Detection
  47. Evading Watermark based Detection of AI-Generated Content
  48. The Emergence of Deepfake Technology: A Review
  49. Merlin and Solomon: Lessons from the Law's Formative Encounters with Forensic Identification Science
  50. Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media
  51. Content Moderation Technologies: Applying Human Rights Standards to Protect Freedom of Expression
  52. DeepFake detection based on high-frequency enhancement network for highly compressed content
  53. A content-based image retrieval system for texture and color queries
  54. DeepFake the menace: mitigating the negative impacts of AI-generated content
  55. Identification of Multilingual Offense and Troll from Social Media Memes Using Weighted Ensemble of Multimodal Features
  56. Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic
  57. Self-Supervised Euphemism Detection and Identification for Content Moderation
  58. Energy Consumption of Hash Functions
  59. Robust image hashing through DWT-SVD and spectral residual method
  60. Hash Algorithm In Verification Of Certificate Data Integrity And Security
  61. A Study on the Optimization of Blockchain Hashing Algorithm Based on PRCA
  62. FbHash: A New Similarity Hashing Scheme for Digital Forensics
  63. A Robust Image Hashing Algorithm Resistant Against Geometrical Attacks
  64. Perceptual Image Hashing Based on Three-Dimensional Global Features and Image Energy
  65. A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids
  66. Image Hashing Using DWT-CSLBP
  67. Perceptual Image Hashing Based on Multitask Neural Network
  68. Robust Image Hashing Using Radon Transform and Invariant Features
  69. Robust image hashing using SIFT feature points and DWT approximation coefficients
  70. Performance Analysis of Hashing Methods on the Employment of App
  71. Robust Hashing via Global and Local Invariant Features for Image Copy Detection
  72. Robust Image Hashing Scheme Based on Low-Rank Decomposition and Path Integral LBP
  73. Secure hybrid robust watermarking resistant against tampering and copy attack
  74. Security Analysis of MVhash-B Similarity Hashing
  75. Robust image hashing with compressed sensing and ordinal measures
  76. SSL: A Novel Image Hashing Technique Using SIFT Keypoints with Saliency Detection and LBP Feature Extraction against Combinatorial Manipulations
  77. Robust Image Hashing via CP Decomposition and DCT for Copy Detection
  78. Privacy-Enhanced Robust Image Hashing with Bloom Filters
  79. A Review of Hashing based Image Copy Detection Techniques
  80. A Novel Perceptual Hashing for Color Images Using a Full Quaternion Representation
  81. Comparative Study of Blockchain Hashing Algorithms with a Proposal for HashLEA
  82. Content-based image hashing using wave atoms
  83. mvHash: a new approach for fuzzy hashing
  84. Targeted Attack for Deep Hashing Based Retrieval
  85. Stealthy and efficient adversarial example attack on video retrieval systems
  86. Adversarial Attack on Video Retrieval
  87. Towards Video-Text Retrieval Adversarial Attack
  88. DUO: Stealthy Adversarial Example Attack on Video Retrieval Systems via Frame-Pixel Search
  89. AP-GAN: Adversarial patch attack on content-based image retrieval systems
  90. CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
  91. Boosting the Transferability of Video Adversarial Examples via Temporal Translation
  92. Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
  93. Detection of real-time deep fakes and face forgery in video conferencing employing generative adversarial networks
  94. Deepfake Attacks: Generation, Detection, Datasets, Challenges, and Research Directions
  95. Video steganography: recent advances and challenges
  96. DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems
  97. An Effective Adversarial Attack on Person Re-Identification in Video Surveillance via Dispersion Reduction
  98. Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
  99. Attacking DNN-based Cross-modal Retrieval Hashing Framework with Adversarial Perturbations
  100. CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
  101. GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
  102. Robustness of Workload Forecasting Models in Cloud Data Centers: A White-Box Adversarial Attack Perspective
  103. Robust perceptual hashing as classification problem: decision-theoretic and practical considerations
  104. Onion-Hash: A Compact and Robust 3D Perceptual Hash for Asset Authentication
  105. Fast Fallback Watermark Detection Using Perceptual Hashes
  106. New Rapid and Robust Color Image Watermarking Technique in Spatial Domain
  107. QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
  108. Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval
  109. Adversarial Attack on Deep Product Quantization Network for Image Retrieval
  110. Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval
  111. Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
  112. Universal Perturbation Attack Against Image Retrieval
  113. Evading Deepfake-Image Detectors with White- and Black-Box Attacks
  114. ARRA: Absolute-Relative Ranking Attack against Image Retrieval
  115. Adversarial attacks on fingerprint liveness detection
  116. Untargeted Closed-Box Attack Against Healthcare Image Retrieval via Rank Manipulation
  117. Toward a Universal, Transferable, and Robust Adversarial Perturbation Framework Against Deep Hashing-Based Facial Image Retrieval
  118. Adversarial Attack and Defense on Graph Data: A Survey
  119. Secure neural network watermarking protocol against forging attack
  120. Membership Inference Attacks Against Text-to-image Generation Models
  121. A review of image watermarking for identity protection and verification
  122. Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
  123. Black-box Adversarial Attacks on Video Recognition Models
  124. Heuristic Black-Box Adversarial Attacks on Video Recognition Models
  125. Sparse Adversarial Perturbations for Videos
  126. Transferable Adversarial Attacks for Image and Video Object Detection
  127. Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models
  128. Imperceptible Adversarial Attack With Multigranular Spatiotemporal Attention for Video Action Recognition
  129. Coreset Learning-Based Sparse Black-Box Adversarial Attack for Video Recognition
  130. Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification
  131. Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond
  132. Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos
  133. Vulnerability assessment and detection of Deepfake videos
  134. A General Framework for Adversarial Examples with Objectives
  135. RLVS: A Reinforcement Learning-Based Sparse Adversarial Attack Method for Black-Box Video Recognition
  136. Adversarial Attacks Against Deep Generative Models on Data: A Survey
  137. Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
  138. Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
  139. Deepfake Video Detection through Optical Flow Based CNN
  140. Countering Malicious DeepFakes: Survey, Battleground, and Horizon
  141. DeepEvader: An evasion tool for exposing the vulnerability of deepfake detectors using transferable facial distraction blackbox attack
  142. Deepfake Media Forensics: Status and Future Challenges
  143. Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations
  144. Testing human ability to detect ‘deepfake’ images of human faces
  145. Comprehensive Evaluation of Deepfake Detection Models: Accuracy, Generalization, and Resilience to Adversarial Attacks
  146. Generative Artificial Intelligence and the Evolving Challenge of Deepfake Detection: A Systematic Analysis
  147. Evasion Attack on Deepfake Detection via DCT Trace Manipulation
  148. Deepfake CAPTCHA: A Method for Preventing Fake Calls
  149. Practical Disruption of Image Translation Deepfake Networks
  150. Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
  151. DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models
  152. Deepfake Text Detection: Limitations and Opportunities
  153. BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake
  154. Explainability-driven adversarial robustness assessment for generalized deepfake detectors
  155. Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
  156. Unmasking AI-created visual content: a review of generated images and deepfake detection technologies
  157. TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
  158. Defending Against Adaptive Deepfake Generation and Detection Evasion Attacks
  159. Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
  160. XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
  161. Understanding the Security of Deepfake Detection
  162. A Contemporary and Comprehensive Bibliometric Exposition on Deepfake Research and Trends
  163. FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
  164. DUPE: Detection Undermining via Prompt Engineering for Deepfake Text
  165. Building an Invisible Shield for Your Portrait against Deepfakes
  166. Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
  167. An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
  168. Deepfakes: Current and Future Trends
  169. Characterizing the MrDeepFakes Sexual Deepfake Marketplace
  170. Exploring the Advancements and Challenges of Deepfake Face-swap: A Survey
  171. A Review of Tools and Technologies to Combat Deepfakes
  172. Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering
  173. Optimal transport-guided framework for adversarial robust deepfake detection
  174. WDNet: Watermark-Decomposition Network for Visible Watermark Removal
  175. Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
  176. DAWN: Dynamic Adversarial Watermarking of Neural Networks
  177. AFA: Adversarial fingerprinting authentication for deep neural networks
  178. Model Watermarking for Image Processing Networks
  179. Adversarial watermark: A robust and reliable watermark against removal
  180. Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks\n by Backdooring
  181. REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
  182. Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers
  183. A Systematic Review on Model Watermarking for Neural Networks
  184. Attacking Image Watermarking and Steganography - A Survey
  185. Watermarks for Generative Adversarial Network Based on Steganographic Invisible Backdoor
  186. Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
  187. Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
  188. Deep Neural Network Watermarking against Model Extraction Attack
  189. SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection
  190. ProActive DeepFake Detection using GAN-based Visible Watermarking
  191. From Weak to Strong Watermarking
  192. Detect and Remove Watermark in Deep Neural Networks via Generative Adversarial Networks
  193. Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
  194. Reliable Model Watermarking: Defending against Theft without Compromising on Evasion
  195. NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks
  196. A Brief, In-Depth Survey of Deep Learning-Based Image Watermarking
  197. Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks
  198. Rethinking the Vulnerability of DNN Watermarking
  199. Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring
  200. DENet: Disentangled Embedding Network for Visible Watermark Removal