dot

the Deepfake Offensive Toolkit dot aka Deepfake Offensive Toolkit makes real-time, controllable deepfakes ready for virtual cameras injection. dot is created for performing penetration testing against e.g. identity verification and video conferencing systems, for the use by security analysts, Red...

Deep-Live-Cam

Deep-Live-Cam 2.1.6 Real-time face swap and video deepfake with a single click and only a single image. Disclaimer This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and...

AI_Security_Top

🛡️ AI-Security-Knowledge-Base This is a systematic AI security research project, covering a complete knowledge system from foundational machine learning algorithm theory to cutting-edge large model injection attacks, AI evasion countermeasures, and Deepfake. 🏗️ Knowledge System Architecture The...

UK Politician Jess Asato Got Deepfaked. Now She’s Taking xAI to Court

Jess Asato’s public campaigning for victims of online abuse put her in the crosshairs of Grok’s deepfake scandal. Then the UK member of parliament became a victim of the abuse herself...

MIG-COW: Transferable Adversarial Attacks on Deepfake Detectors Via Gradient Decomposition

Despite recent advances, deepfake detectors remain vulnerable to adversarial examples, particularly in diverse, real-world settings. We propose MIG-COW, a novel adversarial attack framework that generates highly generalizable and visually imperceptible adversarial examples. By combining...

From GAN-Based Models to GPT-5: A Taxonomy-Guided Study of Human Performance in Detecting Deepfake Face Images

Generative models for deepfakes have rapidly evolved from GAN-based architectures to diffusion models and multimodal large language models MLLMs. However, empirical research on human performance in detecting deepfake face images has not kept pace. It remains unclear if and how detection performan...

How to Run a Deepfake Readiness Drill Before a Cloned Voice Calls Your Team

Cloned voices and synthetic video calls now show up in payment fraud, help desk resets, and access requests. A structured drill shows security teams exactly where verification breaks down, while nothing is at stake. The call comes in at 4:40 on a Friday. It's the CFO, or it sounds exactly like he...

An Initial Study of Physiological Markers for Deepfake Speech Detection

Conventional deepfake speech detectors primarily target synthesis artifacts and often degrade under unseen attacks or recording conditions. Human speech, however, contains physiological markers associated with respiration, phonation, and temporal coordination arising from the speech-production...

Adaptive Compression and Targeted Perturbation: A Unified Framework for Generalized Audio Deepfake Detection

Existing audio deepfake detection ADD methods frequently exhibit limited generalization, as fixed bottleneck architectures fail to adapt to the heterogeneous information densities inherent in diverse spoofing artifacts. Moreover, standard augmentation often leads to a pathological...

Detection-Guided Adaptive Purification with Diffusion Models for Robust Audio Deepfake Detection

Audio deepfake detectors remain vulnerable to adversarial perturbations that suppress the acoustic cues used for detection, allowing manipulated utterances to evade the detector. Although existing defenses can improve robustness, they require retraining the detector or introduce additional...

Deep-Live-Cam — Updated!

Deep-Live-Cam 2.1.6 Real-time face swap and video deepfake with a single click and only a single image. Disclaimer This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and...

On Evaluating Quantum Kernel Robustness for Low-Resource Cross-Corpus Audio Deepfake Detection

Synthetic speech detection is critical for audio security, but performance can degrade when labeled data are scarce and evaluation conditions differ from training. This study examines quantum kernel methods and lightweight neural models for cross-corpus audio deepfake detection under limited...

ModalFidelity: Routing Modalities for Deepfake Detection on a Budget

Deepfakes no longer need to fake a whole video. Generators that read the transcript now alter only the few seconds in which a video's meaning turns, so a forgery hides in a small, unknown fraction of the video. Yet detectors still read every one-second window of both the audio and image streams,...

"What I See Is What I Hear": Deepfake Detection across Diverse Hearing Abilities

The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on human perception. Detection requires integrating auditory and visual cues, yet security and privacy research has largely overlooked d/Deaf and...

Benchmarking Neural Defend ARCAS 1B: A Foundational Multimodal Deepfake Detection Model

AI-generated imagery evolves faster than benchmark-specific detector evaluations, making a single score an incomplete account of generalization. This paper evaluates Neural Defend ARCAS 1B across benchmark families without benchmark-specific parameter updates. We retain native aggregation and...

12 celebrity deepfake websites seized by Manhattan DA

The Manhattan District Attorney’s Office has seized the domains of 12 deepfake websites in what it called the largest known seizure of celebrity deepfake sites in history. The sites, which marketed themselves as deepfake pornography platforms, hosted AI-generated videos of over 1,200 people,...

Robust Workflow Generation Via Adversarial Learning for Audio Deepfake Detection

The rapid advancement of speech synthesis and voice conversion technologies has made audio deepfakes increasingly realistic, posing serious security risks in practical applications. While existing detection methods achieve strong performance under controlled conditions, they often fail to...

New York Seizes a Dozen Celebrity Deepfake Websites

In the biggest-ever legal action against harmful deepfake websites, the Manhattan District Attorney’s Office has seized 12 sites that collectively targeted around 1,200 victims...

Sexually Explicit Deepfake Sites Target 100-Plus Politicians in Europe

An analysis of 160 deepfake websites reveals politicians in 22 countries appear on them. Nearly all of them are women...

Deep-Fake CAPTCHA: Mitigating Next-Generation Social Engineering Attacks

This paper presents DF-CAPTCHA, an active defense against real-time deepfake impersonation in voice and video calls. Instead of passively searching for artifacts, DF-CAPTCHA prompts the caller to perform simple challenge-response tasks that are easy for humans but difficult for current real-time...