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Found 11 papers, 0 papers with code
Privacy-Preserving Diffusion Model Using Homomorphic Encryption
In this paper, we introduce a privacy-preserving stable diffusion framework leveraging homomorphic encryption, called HE-Diffusion, which primarily focuses on protecting the denoising phase of the diffusion process.
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
This survey offers a holistic understanding of the prevailing transferable attacks and their impacts across different domains.
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems
In this work, we propose a backdoor attack MASTERKEY, to compromise the SV models.
PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection
We significantly enhance the query efficiency and reduce the cost of a successful untargeted and targeted adversarial attack by 93. 1% and 65. 5% compared with the state-of-the-art black-box attacks, using merely ~300 queries (~5 minutes) and ~1, 500 queries (~25 minutes), respectively.
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning
Additionally, our long-term greedy strategy in client selection tackles the problem of system performance degradation caused by short-term scheduling in a dynamic network.
Understanding Multi-Turn Toxic Behaviors in Open-Domain Chatbots
The chatbot is fine-tuned with a collection of crafted conversation sequences.
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
This study provides a comprehensive review of recent research advancements, challenges, and opportunities for PFMs in text, image, graph, as well as other data modalities.
SuperVoice: Text-Independent Speaker Verification Using Ultrasound Energy in Human Speech
Our evaluation shows that SUPERVOICE achieves 0. 58% equal error rate in the speaker verification task, it only takes 120 ms for testing an incoming utterance, outperforming all existing speaker verification systems.
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems
By exploiting the weaknesses of the stereo matching in depth estimation algorithms and the lens flare effect in optical imaging, we propose DoubleStar, a long-range attack that injects fake obstacle depth by projecting pure light from two complementary light sources.
Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization
The Foreign Exchange (Forex) is a large decentralized market, on which trading analysis and algorithmic trading are popular.
Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping
We then impose a constraint on the perturbation at the positions with lower sound intensity across the time domain to eliminate the perceptible noise during the silent periods or pauses.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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