A grey-box attack against latent diffusion model-based image editing by posterior collapse
Recent advancements in generative AI, particularly Latent Diffusion Models (LDMs), have
revolutionized image synthesis and manipulation. However, these generative techniques …
revolutionized image synthesis and manipulation. However, these generative techniques …
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
We propose Instruct2Attack (I2A), a language-guided semantic attack that generates
semantically meaningful perturbations according to free-form language instructions. We …
semantically meaningful perturbations according to free-form language instructions. We …
Interpolated joint space adversarial training for robust and generalizable defenses
Adversarial training (AT) is considered to be one of the most reliable defenses against
adversarial attacks. However, models trained with AT sacrifice standard accuracy and do not …
adversarial attacks. However, models trained with AT sacrifice standard accuracy and do not …
Instant Adversarial Purification with Adversarial Consistency Distillation
Neural networks, despite their remarkable performance in widespread applications,
including image classification, are also known to be vulnerable to subtle adversarial noise …
including image classification, are also known to be vulnerable to subtle adversarial noise …
MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks
Neural networks have achieved remarkable performance across a wide range of tasks, yet
they remain susceptible to adversarial perturbations, which pose significant risks in safety …
they remain susceptible to adversarial perturbations, which pose significant risks in safety …
Identifying Attack-Specific Signatures in Adversarial Examples
The adversarial attack literature contains numerous algorithms for crafting perturbations
which manipulate neural network predictions. Many of these adversarial attacks optimize …
which manipulate neural network predictions. Many of these adversarial attacks optimize …
Adversarial Attacks and Defenses in Capsule Networks: A Critical Review of Robustness Challenges and Mitigation Strategies
Abstract Capsule Networks (CapsNets) have gained significant attention in recent years due
to their potential for improved representation learning and robustness. However, their …
to their potential for improved representation learning and robustness. However, their …
A Historical, Present, and Prospective Review of Artificial Intelligence's Role in Securing Personal Information and Private Data
Cybercrime, in its many forms, has become a pervasive and escalating threat in today's
interconnected digital world. It includes many different types of illegal acts. committed using …
interconnected digital world. It includes many different types of illegal acts. committed using …