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. University of Oxford video retrieval system
  2. ITI interactive video retrieval system
  3. Carnegie Mellon University traditional informedia digital video retrieval system
  4. Object Recognition for Video Retrieval
  5. The interactive video retrieval system in SMARTV 2009
  6. Assessing Effectiveness in Video Retrieval
  7. Fast Video Retrieval under Sparse Training Data
  8. Semantic Video Retrieval Using Audio Analysis
  9. Towards semantic, debiased and moment video retrieval
  10. The 2023 Video Similarity Dataset and Challenge
  11. Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation
  12. Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method_supp1-3380260.pdf
  13. Video similarity detection with video signature clustering
  14. Totally-Looks-Like: A dataset and benchmark of semantic image similarity
  15. Similarity Search in Multimedia Databases
  16. Comparing structural fingerprints using a literature-based similarity benchmark
  17. An Efficient Method for Video Similarity Search with Video Signature
  18. GeneCIS: A Benchmark for General Conditional Image Similarity
  19. Inter-video Similarity for Video Parsing
  20. An efficient video similarity search strategy for video-on-demand systems
  21. Cross-Gen: An Efficient Generator Network for Adversarial Attack of Cross-Modal Hashing Retrieval
  22. HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
  23. A Smart Adversarial Attack on Deep Hashing Based Image Retrieval
  24. Targeted Attack of Deep Hashing Via Prototype-Supervised Adversarial Networks
  25. Exploring Targeted Universal Adversarial Attack for Deep Hashing
  26. Exposing the Limits of Deepfake Detection using novel Facial mole attack: A Perceptual Black- Box Adversarial Attack Study
  27. RD-PHash: A Robustness Enhancement for DCT-Based Perceptual Hashing Against Adversarial Bit-Flipping Attacks
  28. AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch
  29. All Points Guided Adversarial Generator for Targeted Attack Against Deep Hashing Retrieval
  30. Targeted Adversarial Attack Against Deep Cross-Modal Hashing Retrieval
  31. Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images
  32. Adversarial Attack using Neural Image Modification
  33. A Perceptual Distortion Reduction Framework: Toward Generating Adversarial Examples With High Perceptual Quality and Attack Success Rate
  34. Improving Adversarial Transferability in No-Reference Image Quality Assessment via Consensus-Guided Distillation and Local Perceptual Attack
  35. Perceptual Aliasing++: Adversarial Attack for Visual SLAM Front-End and Back-End
  36. Pyram: a robust and attack-resistant perceptual image hashing using pyramid histogram of gradients
  37. FPAD: Fuzzy-Prototype-Guided Adversarial Attack and Defense for Deep Cross-Modal Hashing
  38. RetouchUAA: Unconstrained Adversarial Attack via Realistic Image Retouching_supp1-3490759.pdf
  39. Video for Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs
  40. Invisible Watermark-embedded Adversarial Examples for Copyright Protection
  41. A Universal Detection Method for Adversarial Examples and Fake Images
  42. Adversarial Examples Detection Using No-Reference Image Quality Features
  43. Research on Copyright Protection Methods for DeepLearning Models Based on Adversarial Examples
  44. Robustness of neural network image classifiers to meaningful adversarial examples
  45. Adversarial examples detection for object detectors using consistency check framework
  46. DeepFake detection against adversarial examples based on D‐VAEGAN
  47. Resilience against Adversarial Examples: Data-Augmentation Exploiting Generative Adversarial Networks
  48. Title Page, Copyright
  49. Adversarial Examples Detection Beyond Image Space
  50. Imperceptible Adversarial Examples For Fake Image Detection
  51. Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling_supp1-3582334.mp4
  52. Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
  53. ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
  54. Copyright Page
  55. Adversarial Examples for Image Cropping: Gradient-Based and Bayesian-Optimized Approaches for Effective Adversarial Attack
  56. Shadow Detection in Single RGB Images Using a Context Preserver Convolutional Neural Network Trained by Multiple Adversarial Examples
  57. Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings from Images and Text
  58. Network-based content identification system via content-based comics fingerprint
  59. A Study on Cross-Association between UCI Identification System and Content-based Identifier for Copyright Identification and Management of Broadcasting Content
  60. Design and implementation of fingerprinting-based broadcasting content identification system
  61. An identification system using fingerprint for live broadcasting content On TV
  62. A Meaningful MD5 Hash Collision Attack
  63. Improved 2-round collision attack on IoT hash standard ASCON-HASH
  64. Effective solution to Hash collision
  65. GPGPU-BASED COLLISION ATTACK ON QURANIC VERSES HASH TABLES
  66. Collision attack against Tav-128 hash function
  67. A second pre-image attack and a collision attack to cryptographic hash function lux
  68. Preimage attack on step reduced hash function HAVAL
  69. Improved Collision Attack on Hash Function MD5
  70. Credential Hash Injection Attack Detection Using the Hash Ownership Verification Framework (HOVF)
  71. Target Collision Resistant Hash Function
  72. HX: A PROPOSAL OF A NEW STREAM CIPHER BASED ON COLLISION RESISTANT HASH FUNCTIONS
  73. IT Security techniques. Hash-functions
  74. Information technology. Security techniques. Hash-functions
  75. Mash Hash Functions (Modular Arithmetic Secure Hash)
  76. High-speed packet processing by non-collision hash functions based on middle-point partition
  77. hashtable: Hash Table and Hash Set
  78. Improved Collision Attack on the Hash Function Proposed at PKC’98
  79. Preimage Attack on MD4 Hash Function as a Problem of Parallel Sat-Based Cryptanalysis
  80. Using Coding To Solve :, The Collision In Hash Function
  81. Pricing Network Trust: Attack Cost, Hash-Rate, and the Illusion of Stability in Bitcoin Markets
  82. Collision Attack for the Hash Function Extended MD4
  83. A Symbolic Model for Hash‐Collision Attacks
  84. MULTI-COLLISIONS ATTACK IN RING HASH STRUCTURE
  85. THE CONCEPT OF HASH VALUE AND THE COLLISION OF HASH VALUE AS THE WAY TO PROVIDE UNASSAILABILITY OF DIGITAL EVIDENCE
  86. Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing_supp1-3705579.pdf
  87. QEBB: A Query-Efficient Black-Box Adversarial Attack on Video Recognition Models Based on Unsupervised Key Frame Selection
  88. Targeted Universal Adversarial Attack on Deep Hash Networks
  89. Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack
  90. A Robust Adversarial Example Attack Based on Video Augmentation
  91. ZQBA: A Zero-Query, Boosted Ambush Adversarial Attack on Image Retrieval
  92. Toward Robust Neural Image Compression: Adversarial Attack and Model Finetuning
  93. Activity Image-to-Video Retrieval via Domain Adversarial Learning
  94. Sketch Based Image Retrieval with Adversarial Network
  95. Universal Sparse Adversarial Attack on Video Recognition Models
  96. RetouchUAA: Unconstrained Adversarial Attack via Realistic Image Retouching
  97. Adversarial Video Promotion Against Text-to-Video Retrieval
  98. SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
  99. Semantic Disentanglement Adversarial Hashing for Cross-Modal Retrieval
  100. Security and Robustness Enhancement of Existing Hash Algorithm
  101. A New Herding Attack on Hash Functions with Strengthening Merkle-Damagard (MD) Construction
  102. Digital watermarking for PDF documents and images : security, robustness and AI-based attack
  103. Rethinking Robustness in Digital Watermarking: A Perceptual Identity-Based Framework
  104. A Novel Memory-Efficient MitM Attack on Ascon-Hash
  105. Hash Functions and the (Amplified) Boomerang Attack
  106. Robustness Evaluation of Perceptual Watermarks
  107. From Hash to Hosting: The Structural Transformation of Bitcoin Mining in the AI Era
  108. Methods of attack on hash functions
  109. Classification of Hash Functions Based on Anti-Attack Ability
  110. Schmidt: Image Augmentation for Black-Box Adversarial Attack
  111. Targeted Black-Box Adversarial Attack Method for Image Classification Models
  112. High-transferability black-box attack of binary image segmentation via adversarial example augmentation
  113. Efficient Multi-branch Black-box Semantic-aware Targeted Attack Against Deep Hashing Retrieval
  114. Reputation Defender: Local Black-Box Adversarial Attack against Image-Translation-Based DeepFake
  115. Perceptual quality-preserving black-box attack against deep learning image classifiers
  116. Image Retrieval System
  117. Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval
  118. Poster: Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning
  119. BS-ADV: a secure black-box image steganography framework enhanced by adversarial sample attack
  120. FedOwner: Protecting image classification models using black-box and white-box watermarking
  121. Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
  122. A Black-Box Targeted Misclassification Attack on Edge AI with Adversarial Examples Generated from RAW Image Sensor Data
  123. A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers
  124. A novel black-box adversarial attack for visible and infrared image fusion models
  125. IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
  126. Sparse Physical Adversarial Attack on Video Recognition Based on Spatiotemporal Semantic Redirection
  127. AdvMask: A sparse adversarial attack-based data augmentation method for image classification
  128. Video summarization with a convolutional attentive adversarial network
  129. Reversible attack based on adversarial perturbation and reversible data hiding in YUV colorspace
  130. MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework
  131. Bounded Adversarial Attack on Deep Content Features
  132. One-index vector quantization based adversarial attack on image classification
  133. A method for recovering adversarial samples with both adversarial attack forensics and recognition accuracy
  134. Defending deepfake detector against data poisoning attacks
  135. ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech_supp1-3682962.pdf
  136. Can We Leave Deepfake Data Behind in Training Deepfake Detector?
  137. DeepFake Disrupter: The Detector of DeepFake Is My Friend
  138. Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models_supp1-3648660.pdf
  139. Enhancing Digital Evidence Analysis: Fakeseeker for Real-TimEnhancing Digital Evidence Analysis: Fakeseeker for Real-Time Deepfake Detector Using EfficientNete Deepfake Detector Using EfficientNet
  140. Intel launches 96% accurate deepfake detector
  141. Deepfake detector could protect world leaders
  142. Deepfake attack prevention using steganography GANs
  143. ResNet50 DeepFake Detector: Unmasking Reality
  144. Exploring a deepfake attack: a multi-dimensional approach
  145. Towards robust DeepFake distortion attack via adversarial autoaugment
  146. Paravision to launch deepfake detector, bankrolled by ‘Five Eyes’ country
  147. Audio Deepfake Detection Under Post-Processing Attack
  148. Statistics-Aware Audio-Visual Deepfake Detector
  149. FGSM Adversarial Attack Detection On Deepfake Videos
  150. Intelligent Deepfake Detector Using Audio-Visual Clues
  151. EnsembleDet: ensembling against adversarial attack on deepfake detection
  152. GenPure: Foundation-Model-Guided Multi-Stage Purification Framework for Black-Box Evasion of Deepfake Detectors
  153. A Novel Glow Adversarial Attack for Proactive Deepfake Defense
  154. The Framework of Cross-Domain and Model Adversarial Attack against Deepfake
  155. Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
  156. A Review on Deepfake Attack Detection of User
  157. FlashRush: accelerating proactive deepfake disruption with parallel adversarial attack processing
  158. DeepFake Detector: A Multimodal Detection Framework Using Vision Transformers and Audio-Visual Consistency
  159. Application Of Deep Learning For Image Deepfake Detector Using Convolutional Neural Network Algorithm
  160. Robust deepfake detector against deep image watermarking
  161. Deep-Detector: Deepfake Voice Recognition using Machine Learning
  162. Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector
  163. Explainable Deepfake and Spoofing Detection: An Attack Analysis Using SHapley Additive exPlanations
  164. An adversarial attack approach for eXplainable AI evaluation on deepfake detection models
  165. Trusting the Detector: Comparing Explanations for Deepfake Identification Across Modalities
  166. JPEG compression-resistant adversarial attack with invisible watermark embedding
  167. Making Adversarial Attack Imperceptible in Frequency Domain: A Watermark-based Framework
  168. Robust Adversarial Watermark Defending Against GAN Synthesization Attack
  169. Generative adversarial networks model for visible watermark removal
  170. FAWA: Fast Adversarial Watermark Attack
  171. Dataset Reduction and Watermark Removal via Self-supervised Learning for Model Extraction Attack
  172. Watermark Removal Attack Extended to Forgery Against Correlation-Based Watermarking Schemes
  173. Watermark Removal Attack Against Text-to-Image Generative Model Watermarking
  174. ARF-GAN: An Arabic-aware Region-focused Adversarial Framework for Visible Arabic Watermark Detection and Removal
  175. Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
  176. LMS-based attack on watermark public detectors
  177. Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
  178. WRATH: Turning Watermark Robustness Against Itself via a Watermark-Agnostic Black-Box Invalidation Attack
  179. Spiral-Based Notch Filtering for Robust Invisible Watermark Removal
  180. Universal Watermark Attack in Image Classification
  181. Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
  182. FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
  183. The blind pattern matching attack on watermark systems
  184. A Unified Noise and Watermark Removal from Information Bottleneck-Based Modeling
  185. Background Adaptive Positioning Watermark Based on Adversarial Generation and Detection for Locating Watermarked Regions in Photographs
  186. Practical Black-box Watermark Removal via Knowledge Distillation into Compact Models
  187. Robust Dual Digital Watermark Applied to Antique Digitized Cinema Images: Resistant to Print-Scan Attack
  188. Robust watermarking techniques for stereoscopic video protection
  189. On Line Video Watermarking - A New Robust Approach of Video Watermarking based on Dynamic Multi-sprites Generation
  190. Noise sources in robust uncompressed video watermarking
  191. A Robust Anaglyph 3D Video Watermarking based on Multi-sprite Generation
  192. A Robust Deep Learning-Based Video Watermarking Using Mosaic Generation
  193. Robust Watermarking of Video Streams
  194. RETRACTED: Robust and Secure Video Authentication: A Hash-Based Watermarking Approach
  195. Robust Video Watermarking of Hybrid Based Techniques
  196. Robust Watermarking for Video Using Mean Modulation Technique
  197. Novel Object Based Robust Video Watermarking Scheme
  198. Robust Video Transmission Using Reversible Watermarking Techniques
  199. Evaluation of robust interframe MPEG video watermarking
  200. Robust digital video watermarking scheme for H.264 advanced video coding standard