AI Detection/Image Analysis - 2 Photos

As an expert in digital forensics, I'm Adnan Gohar and I can effectively apply my skills to create a Tamper-Proof Photo Verification System tailored to your needs. Having tackled projects similar to yours, I’m familiar with different image manipulation techniques and understand how they could be employed to paint a potentially misleading narrative. By utilizing my knowledge, we can ensure your images receive the meticulous scrutiny they require. My experiences extend beyond theoretical knowledge, as I have real-world expertise in developing verification systems. Specifically, I have an acute understanding of the importance of low sensitivity as it relates to tampering detection. I can craft a system that sifts through potential tampering indicators, yet retains a keen focus on major alterations only—a crucial feature for accurately identifying AI manipulations and maintaining efficiency in a key process. In terms of my other skills, project management has been central to my background—I've led teams and managed numerous complex projects successfully. Not only am I adept at navigating challenging endeavors but also refining work processes to meet deadlines and budgets. This quality coupled with my strategic planning disposition makes me ready to tangibly contribute toward your project goals and objectives.

Hi, I'm a freelancer with expertise in image processing and digital forensics. I can create a system to spot major alterations in the provided images while ignoring minor changes. My approach is efficient and user-friendly. Key Skills: - Anomaly Detection - Digital Forensics - Image Analysis Excited to work on this! Let me know if you have any questions. Best, Nikita

Our proposal aligns closely with your project description, focusing on identifying and flagging major alterations in images while disregarding minor or insignificant changes. We understand the importance of maintaining low sensitivity in detecting tampering, ensuring that only substantial modifications are highlighted for further scrutiny. To achieve this goal, we propose leveraging advanced techniques in image processing and anomaly detection. Specifically, we will utilize state-of-the-art neural network models such as DeepSVDD (Deep Support Vector Data Description) and Deep One-Class Classification (DeepOCC). These techniques have demonstrated effectiveness in detecting anomalies in image data by leveraging transfer learning to adapt pretrained convolutional neural networks (CNNs). Our team consists of experts in image processing, digital forensics, and machine learning, with extensive experience in developing verification systems for various applications. We are committed to delivering a high-quality solution that meets your needs and exceeds your expectations. We look forward to the opportunity to collaborate with you on this exciting project. Please feel free to reach out to discuss any further details or questions you may have.

Experience in digital forensics and cyber security Performed physical and logical extraction of data from the digital devices (smartphones and mass storage devices(HDD, SSD). Experience in Image, audio and video authentication and detecting Deepfake Files to a certain range. Led numerous successful investigations involving [specific types of cases, e.g., digital forensics, crime scene analysis, fraud]. Proficient in utilizing [ FTK, Diamond Cut Forensics, Encase, FinalMobile, Cellebrite, Axiom, DVR Examiner, AmpedFive, Amped Authenticate, Diskinternals, MobileEdit] to gather, preserve, and analyze evidence, ensuring the integrity of findings. Experienced in working on GST raids with Government officials. Worked in the field of cyber security, handled OSINT analysis, and was proficient with Kali Linux. Worked in advancement of Cyber Security tools and attacks under Research & Development team. Collaborated with law enforcement agencies and legal professionals, providing expert insights to support the resolution of complex cases. Developed comprehensive reports and expert testimony that effectively communicated technical findings to non-technical stakeholders.