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Cybersecurity

362 directly classified papers

Papers per year

Papers

Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study WACV 2024
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024
Vulnerabilities of Large Language Models to Adversarial Attacks ACL 2024
Alea-BFT: Practical Asynchronous Byzantine Fault Tolerance NSDI 2024
Watermarking for Large Language Models ACL 2024
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NIPS 2024
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents ACL 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NIPS 2024
Applying Contrastive Learning to Code Vulnerability Type Classification EMNLP 2024
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research EMNLP 2024
DSig: Breaking the Barrier of Signatures in Data Centers OSDI 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence NIPS 2024
AudioMarkBench: Benchmarking Robustness of Audio Watermarking NIPS 2024
Can Simple Averaging Defeat Modern Watermarks? NIPS 2024
SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023
Two-phase Attacks in Security Games UAI 2023
Enhancing Global Network Monitoring with Magnifier NSDI 2023
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms AAAI 2023
Principled Data-Driven Decision Support for Cyber-Forensic Investigations AAAI 2023
Unsupervised Binary Code Translation with Application to Code Clone Detection and Vulnerability Discovery EMNLP 2023
Poisoning Retrieval Corpora by Injecting Adversarial Passages EMNLP 2023
BotPercent: Estimating Bot Populations in Twitter Communities EMNLP 2023
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs AAAI 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels AAAI 2023