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Microsoft is adding third-party deepfake detection and impersonation warnings to Teams in November 2026, as malicious voice call attempts on the platform surged nearly 10x in a year.
Google launched a public website that lets anyone verify whether images, videos, or audio were AI-generated using its SynthID watermarking technology, expanding access beyond journalists and researchers. The tool is supported by partners including OpenAI, Nvidia, and Kakao, and handles verification requests at a rate of 1 million per day.
The paper evaluates twenty deepfake detectors against ten generators, finding detection accuracy degrading from 99.5% to 76% over time and collapsing below 2% under adversarial perturbations, then proposes a calibrated detection paradigm based on plausibly deniable authenticity via generator reconstruction, achieving at most 1% false certification.
UCLA researchers unveiled a hybrid optical-neural processor that detects deepfake videos with ~97.79% accuracy while analyzing 15-18 video streams in parallel, using light propagation to replace energy-hungry digital decoding. The system achieves 99.86% sensitivity and can be deepened with passive diffractive layers for higher accuracy at minimal energy cost.
DetectifAI, founded by Tarini Padmanabhuni, develops compact AI models for on-device deepfake voice detection to combat growing AI-driven scams, targeting phone manufacturers with its SDK.
Modulate, a voice intelligence startup, has raised $25 million to enhance its platform for transcription, emotional analysis, and deepfake detection using multiple small AI models.
The paper introduces DF26, a benchmark for detecting AI-generated public-speaking videos, showing that both humans and current detectors perform near chance, underscoring the need for improved robustness to generative model distribution shifts.
This paper proposes UCF-Net, a cascaded fusion network that combines CLIP and DINO for improved deepfake image detection with better cross-domain generalization.
deepeye by deepidv is a free Chrome extension that detects AI-generated and manipulated images, video, and audio in real-time as you browse, with integration into WhatsApp for enhanced privacy.
This paper addresses the growing threat of pure-synthesis fake news videos generated by text-to-video models, introducing a new ternary classification task and the first pure-synthesis fake news video dataset (PS-FNVD), along with a Reasoning-guided framework (R-T2V) that achieves state-of-the-art detection accuracy.
This paper introduces FaceVid-Forensics-100K, a large-scale deepfake video dataset with fine-grained annotations, and proposes a multi-agent forensic reasoning framework (ARGUS) that uses four specialized expert agents and a judge agent to outperform closed-source models on deepfake detection.
Proposes using remote photoplethysmography (rPPG) waveforms to detect talking-face deepfakes, achieving AUC of 0.806 on the Celeb-DF++ TF subset, competitive with the best general-purpose detectors.
Halo by Scam AI is a product that helps users verify the authenticity of people on video calls, aiming to detect scams and deepfakes in real time. It was announced and linked via Product Hunt.
This paper proposes a linguistic-invariant spoofing detection framework that uses teacher-student adversarial learning and a variational information bottleneck to mitigate linguistic bias, achieving up to a 36.2% relative reduction in equal error rate across nine datasets.
An investigation by The Guardian reveals that brands are increasingly using AI-generated influencers on social media to promote products without disclosing their artificial nature, prompting calls for greater transparency and regulation.
Introduces Face-Fairness (FF), a plug-and-play framework for bias mitigation in deepfake detection, featuring Face-Feature Tuning (FFT) as the first demographic label-free fairness method that improves group accuracy and reduces performance gaps across demographics.
This discussion examines whether liveness detection models trained on historical deepfake samples can generalize to new synthetic media generation techniques, questioning the update cycle for vendors claiming deepfake detection capabilities.
Google is expanding SynthID and C2PA Content Credentials verification into Chrome and Search, while OpenAI embeds SynthID into images generated by its tools, marking a major push to make AI-generated content easier to detect online.
This paper proposes Emo-Boost, a multimodal deepfake detection framework that leverages emotion cues (audio-visual emotion recognition) as high-level semantic signals to improve generalization to unseen manipulation types, achieving a 2.1% average AUC improvement on the FakeAVCeleb dataset.
YouTube is expanding its AI likeness detection tool to all users aged 18 and older, enabling anyone to monitor for deepfakes of their face and request removal through YouTube's privacy policy.