1712.05526 - Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

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Bypassing Backdoor Detection Algorithms in Deep Learning | IEEE Euro S\u0026P 2020

(9:31)

Backdooring and Poisoning Neural Networks with Image-Scaling Attacks

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USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

(12:49)

The Irrelevance of K-Bytes Detection - Building a Robust Pipeline for Malicious Documents

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April 16 Visitor Talk: Practical Backdoor Attacks and Defenses in Machine Learning Systems

(55:25)

Bypassing KPTI Using the Speculative Behavior of the SWAPGS Instruction

(49:25)

Analysis of Targeted Metabolomics Data, Charles Burant

(29:17)

Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers

(14:54)

THE RNM SUPERCOMPUTER THAT IS TARGETING THE MIND CONTROL VICTIMS SOUL IS ‘LEARNING HOW TO BE EVIL’!

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USENIX Security '22 - FLAME: Taming Backdoors in Federated Learning

(10:20)

AI/ML Data Poisoning Attacks Explained and Analyzed-Technical

(15:27)

DEF CON 17 - Pratap Prabhu and Yingbo Song - Smashing the Stack with Hydra

(21:55)

Clean-Label Backdoor Attacks on Video Recognition Models

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Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

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NDSS 2022 DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

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