RePAIR: Inverting Backdoor Attacks in Semantic Segmentation
Despite significant advances in computer vision, semantic segmentation models remain vulnerable to backdoor attacks, pos
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← 返回归档列表Despite significant advances in computer vision, semantic segmentation models remain vulnerable to backdoor attacks, pos
Log messages are employed to identify anomalies in IoT systems and have been widely used across many applications. To en
As smart organizations increasingly rely on technologies like AI, big data, and IoT, securing these systems is crucial.
Voice anonymization aims to protect a speaker's identity while preserving the linguistic content of speech, enabling voi
A refuted 2026 claim of an efficient quantum algorithm for the Dihedral Coset Problem (DCP) motivates this survey of the
Security pipelines often fuse several data sources and protect a downstream model with a cross-source anomaly detector.
While few-step distilled text-to-image models have gained traction due to their fast generation times, the speed-up impl
Hardware malware detectors (HMDs) classify hardware performance-counter measurements to identify malicious execution. Fa
Global narrative streams exhibit noisy, fragmented, and asynchronous amplification bursts, making direct waveform compar
In a membership inference attack, an attacker is given the data of a particular individual, and tries to determine if th
Homoglyph and invisible-character watermarks are edit-based watermarks. Instead of changing how a model generates text,
Artificial intelligence (AI) shows promise for breast imaging, but limited labeled data, institutional data fragmentatio
AI-assisted vulnerability discovery can produce technically plausible findings faster than maintainers can validate, coo
Summing vectors is a basic task in differentially private data analysis. Standard private sum algorithms clip vectors to
Harvest-now, decrypt-later (HNDL) attacks make the transition to post-quantum cryptography (PQC) urgent for email. This
Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical acti
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients
Imagery captured by unmanned aerial vehicle (UAV) systems increasingly raises privacy concerns, as UAV aerial surveillan
Generative AI is putting the law of reverse engineering (RE) under severe strain. Existing IP and technology laws assume
Web services increasingly expose backend interfaces that let users delegate tasks to AI agents, which invoke service ope