Исследования, которые мы изучили
Для разработки приложения, изучаем передовые научные работы по антиплагиату, обработке видео и перцептивному хешированию. Уже изучили этот список:
- University of Oxford video retrieval system
- ITI interactive video retrieval system
- Carnegie Mellon University traditional informedia digital video retrieval system
- Object Recognition for Video Retrieval
- The interactive video retrieval system in SMARTV 2009
- Assessing Effectiveness in Video Retrieval
- Fast Video Retrieval under Sparse Training Data
- Semantic Video Retrieval Using Audio Analysis
- Towards semantic, debiased and moment video retrieval
- The 2023 Video Similarity Dataset and Challenge
- Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation
- Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective Method_supp1-3380260.pdf
- Video similarity detection with video signature clustering
- Totally-Looks-Like: A dataset and benchmark of semantic image similarity
- Similarity Search in Multimedia Databases
- Comparing structural fingerprints using a literature-based similarity benchmark
- An Efficient Method for Video Similarity Search with Video Signature
- GeneCIS: A Benchmark for General Conditional Image Similarity
- Inter-video Similarity for Video Parsing
- An efficient video similarity search strategy for video-on-demand systems
- Cross-Gen: An Efficient Generator Network for Adversarial Attack of Cross-Modal Hashing Retrieval
- HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval
- A Smart Adversarial Attack on Deep Hashing Based Image Retrieval
- Targeted Attack of Deep Hashing Via Prototype-Supervised Adversarial Networks
- Exploring Targeted Universal Adversarial Attack for Deep Hashing
- Exposing the Limits of Deepfake Detection using novel Facial mole attack: A Perceptual Black- Box Adversarial Attack Study
- RD-PHash: A Robustness Enhancement for DCT-Based Perceptual Hashing Against Adversarial Bit-Flipping Attacks
- AdvHash: Set-to-set Targeted Attack on Deep Hashing with One Single Adversarial Patch
- All Points Guided Adversarial Generator for Targeted Attack Against Deep Hashing Retrieval
- Targeted Adversarial Attack Against Deep Cross-Modal Hashing Retrieval
- Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images
- Adversarial Attack using Neural Image Modification
- A Perceptual Distortion Reduction Framework: Toward Generating Adversarial Examples With High Perceptual Quality and Attack Success Rate
- Improving Adversarial Transferability in No-Reference Image Quality Assessment via Consensus-Guided Distillation and Local Perceptual Attack
- Perceptual Aliasing++: Adversarial Attack for Visual SLAM Front-End and Back-End
- Pyram: a robust and attack-resistant perceptual image hashing using pyramid histogram of gradients
- FPAD: Fuzzy-Prototype-Guided Adversarial Attack and Defense for Deep Cross-Modal Hashing
- RetouchUAA: Unconstrained Adversarial Attack via Realistic Image Retouching_supp1-3490759.pdf
- Video for Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs
- Invisible Watermark-embedded Adversarial Examples for Copyright Protection
- A Universal Detection Method for Adversarial Examples and Fake Images
- Adversarial Examples Detection Using No-Reference Image Quality Features
- Research on Copyright Protection Methods for DeepLearning Models Based on Adversarial Examples
- Robustness of neural network image classifiers to meaningful adversarial examples
- Adversarial examples detection for object detectors using consistency check framework
- DeepFake detection against adversarial examples based on D‐VAEGAN
- Resilience against Adversarial Examples: Data-Augmentation Exploiting Generative Adversarial Networks
- Title Page, Copyright
- Adversarial Examples Detection Beyond Image Space
- Imperceptible Adversarial Examples For Fake Image Detection
- Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling_supp1-3582334.mp4
- Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
- ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
- Copyright Page
- Adversarial Examples for Image Cropping: Gradient-Based and Bayesian-Optimized Approaches for Effective Adversarial Attack
- Shadow Detection in Single RGB Images Using a Context Preserver Convolutional Neural Network Trained by Multiple Adversarial Examples
- Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings from Images and Text
- Network-based content identification system via content-based comics fingerprint
- A Study on Cross-Association between UCI Identification System and Content-based Identifier for Copyright Identification and Management of Broadcasting Content
- Design and implementation of fingerprinting-based broadcasting content identification system
- An identification system using fingerprint for live broadcasting content On TV
- A Meaningful MD5 Hash Collision Attack
- Improved 2-round collision attack on IoT hash standard ASCON-HASH
- Effective solution to Hash collision
- GPGPU-BASED COLLISION ATTACK ON QURANIC VERSES HASH TABLES
- Collision attack against Tav-128 hash function
- A second pre-image attack and a collision attack to cryptographic hash function lux
- Preimage attack on step reduced hash function HAVAL
- Improved Collision Attack on Hash Function MD5
- Credential Hash Injection Attack Detection Using the Hash Ownership Verification Framework (HOVF)
- Target Collision Resistant Hash Function
- HX: A PROPOSAL OF A NEW STREAM CIPHER BASED ON COLLISION RESISTANT HASH FUNCTIONS
- IT Security techniques. Hash-functions
- Information technology. Security techniques. Hash-functions
- Mash Hash Functions (Modular Arithmetic Secure Hash)
- High-speed packet processing by non-collision hash functions based on middle-point partition
- hashtable: Hash Table and Hash Set
- Improved Collision Attack on the Hash Function Proposed at PKC’98
- Preimage Attack on MD4 Hash Function as a Problem of Parallel Sat-Based Cryptanalysis
- Using Coding To Solve :, The Collision In Hash Function
- Pricing Network Trust: Attack Cost, Hash-Rate, and the Illusion of Stability in Bitcoin Markets
- Collision Attack for the Hash Function Extended MD4
- A Symbolic Model for Hash‐Collision Attacks
- MULTI-COLLISIONS ATTACK IN RING HASH STRUCTURE
- THE CONCEPT OF HASH VALUE AND THE COLLISION OF HASH VALUE AS THE WAY TO PROVIDE UNASSAILABILITY OF DIGITAL EVIDENCE
- Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing_supp1-3705579.pdf
- QEBB: A Query-Efficient Black-Box Adversarial Attack on Video Recognition Models Based on Unsupervised Key Frame Selection
- Targeted Universal Adversarial Attack on Deep Hash Networks
- Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack
- A Robust Adversarial Example Attack Based on Video Augmentation
- ZQBA: A Zero-Query, Boosted Ambush Adversarial Attack on Image Retrieval
- Toward Robust Neural Image Compression: Adversarial Attack and Model Finetuning
- Activity Image-to-Video Retrieval via Domain Adversarial Learning
- Sketch Based Image Retrieval with Adversarial Network
- Universal Sparse Adversarial Attack on Video Recognition Models
- RetouchUAA: Unconstrained Adversarial Attack via Realistic Image Retouching
- Adversarial Video Promotion Against Text-to-Video Retrieval
- SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
- Semantic Disentanglement Adversarial Hashing for Cross-Modal Retrieval
- Security and Robustness Enhancement of Existing Hash Algorithm
- A New Herding Attack on Hash Functions with Strengthening Merkle-Damagard (MD) Construction
- Digital watermarking for PDF documents and images : security, robustness and AI-based attack
- Rethinking Robustness in Digital Watermarking: A Perceptual Identity-Based Framework
- A Novel Memory-Efficient MitM Attack on Ascon-Hash
- Hash Functions and the (Amplified) Boomerang Attack
- Robustness Evaluation of Perceptual Watermarks
- From Hash to Hosting: The Structural Transformation of Bitcoin Mining in the AI Era
- Methods of attack on hash functions
- Classification of Hash Functions Based on Anti-Attack Ability
- Schmidt: Image Augmentation for Black-Box Adversarial Attack
- Targeted Black-Box Adversarial Attack Method for Image Classification Models
- High-transferability black-box attack of binary image segmentation via adversarial example augmentation
- Efficient Multi-branch Black-box Semantic-aware Targeted Attack Against Deep Hashing Retrieval
- Reputation Defender: Local Black-Box Adversarial Attack against Image-Translation-Based DeepFake
- Perceptual quality-preserving black-box attack against deep learning image classifiers
- Image Retrieval System
- Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval
- Poster: Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning
- BS-ADV: a secure black-box image steganography framework enhanced by adversarial sample attack
- FedOwner: Protecting image classification models using black-box and white-box watermarking
- Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
- A Black-Box Targeted Misclassification Attack on Edge AI with Adversarial Examples Generated from RAW Image Sensor Data
- A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers
- A novel black-box adversarial attack for visible and infrared image fusion models
- IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
- Sparse Physical Adversarial Attack on Video Recognition Based on Spatiotemporal Semantic Redirection
- AdvMask: A sparse adversarial attack-based data augmentation method for image classification
- Video summarization with a convolutional attentive adversarial network
- Reversible attack based on adversarial perturbation and reversible data hiding in YUV colorspace
- MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework
- Bounded Adversarial Attack on Deep Content Features
- One-index vector quantization based adversarial attack on image classification
- A method for recovering adversarial samples with both adversarial attack forensics and recognition accuracy
- Defending deepfake detector against data poisoning attacks
- ASVspoof 5: Evaluation of Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech_supp1-3682962.pdf
- Can We Leave Deepfake Data Behind in Training Deepfake Detector?
- DeepFake Disrupter: The Detector of DeepFake Is My Friend
- Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models_supp1-3648660.pdf
- Enhancing Digital Evidence Analysis: Fakeseeker for Real-TimEnhancing Digital Evidence Analysis: Fakeseeker for Real-Time Deepfake Detector Using EfficientNete Deepfake Detector Using EfficientNet
- Intel launches 96% accurate deepfake detector
- Deepfake detector could protect world leaders
- Deepfake attack prevention using steganography GANs
- ResNet50 DeepFake Detector: Unmasking Reality
- Exploring a deepfake attack: a multi-dimensional approach
- Towards robust DeepFake distortion attack via adversarial autoaugment
- Paravision to launch deepfake detector, bankrolled by ‘Five Eyes’ country
- Audio Deepfake Detection Under Post-Processing Attack
- Statistics-Aware Audio-Visual Deepfake Detector
- FGSM Adversarial Attack Detection On Deepfake Videos
- Intelligent Deepfake Detector Using Audio-Visual Clues
- EnsembleDet: ensembling against adversarial attack on deepfake detection
- GenPure: Foundation-Model-Guided Multi-Stage Purification Framework for Black-Box Evasion of Deepfake Detectors
- A Novel Glow Adversarial Attack for Proactive Deepfake Defense
- The Framework of Cross-Domain and Model Adversarial Attack against Deepfake
- Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
- A Review on Deepfake Attack Detection of User
- FlashRush: accelerating proactive deepfake disruption with parallel adversarial attack processing
- DeepFake Detector: A Multimodal Detection Framework Using Vision Transformers and Audio-Visual Consistency
- Application Of Deep Learning For Image Deepfake Detector Using Convolutional Neural Network Algorithm
- Robust deepfake detector against deep image watermarking
- Deep-Detector: Deepfake Voice Recognition using Machine Learning
- Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector
- Explainable Deepfake and Spoofing Detection: An Attack Analysis Using SHapley Additive exPlanations
- An adversarial attack approach for eXplainable AI evaluation on deepfake detection models
- Trusting the Detector: Comparing Explanations for Deepfake Identification Across Modalities
- JPEG compression-resistant adversarial attack with invisible watermark embedding
- Making Adversarial Attack Imperceptible in Frequency Domain: A Watermark-based Framework
- Robust Adversarial Watermark Defending Against GAN Synthesization Attack
- Generative adversarial networks model for visible watermark removal
- FAWA: Fast Adversarial Watermark Attack
- Dataset Reduction and Watermark Removal via Self-supervised Learning for Model Extraction Attack
- Watermark Removal Attack Extended to Forgery Against Correlation-Based Watermarking Schemes
- Watermark Removal Attack Against Text-to-Image Generative Model Watermarking
- ARF-GAN: An Arabic-aware Region-focused Adversarial Framework for Visible Arabic Watermark Detection and Removal
- Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
- LMS-based attack on watermark public detectors
- Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
- WRATH: Turning Watermark Robustness Against Itself via a Watermark-Agnostic Black-Box Invalidation Attack
- Spiral-Based Notch Filtering for Robust Invisible Watermark Removal
- Universal Watermark Attack in Image Classification
- Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
- FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems
- The blind pattern matching attack on watermark systems
- A Unified Noise and Watermark Removal from Information Bottleneck-Based Modeling
- Background Adaptive Positioning Watermark Based on Adversarial Generation and Detection for Locating Watermarked Regions in Photographs
- Practical Black-box Watermark Removal via Knowledge Distillation into Compact Models
- Robust Dual Digital Watermark Applied to Antique Digitized Cinema Images: Resistant to Print-Scan Attack
- Robust watermarking techniques for stereoscopic video protection
- On Line Video Watermarking - A New Robust Approach of Video Watermarking based on Dynamic Multi-sprites Generation
- Noise sources in robust uncompressed video watermarking
- A Robust Anaglyph 3D Video Watermarking based on Multi-sprite Generation
- A Robust Deep Learning-Based Video Watermarking Using Mosaic Generation
- Robust Watermarking of Video Streams
- RETRACTED: Robust and Secure Video Authentication: A Hash-Based Watermarking Approach
- Robust Video Watermarking of Hybrid Based Techniques
- Robust Watermarking for Video Using Mean Modulation Technique
- Novel Object Based Robust Video Watermarking Scheme
- Robust Video Transmission Using Reversible Watermarking Techniques
- Evaluation of robust interframe MPEG video watermarking
- Robust digital video watermarking scheme for H.264 advanced video coding standard
