| 2022 |
|
Real or Fake? A Practical Method for Detecting Tempered Images |
| |
|
Assessing the Impact of Transformations on Physical Adversarial Attacks |
| |
|
Rectifying adversarial inputs using XAI techniques |
| |
|
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators |
| 2021 |
|
DA3G: Detecting Adversarial Attacks by Analysing Gradients |
| |
|
Language Dependencies in Adversarial Attacks on Speech Recognition Systems |
| |
|
Visualizing Automatic Speech Recognition Means for a Better Understanding? |
| 2019 |
|
Stack Overflow Considered Helpful! Deep Learning Security Nudges Towards Stronger Cryptography |
| 2018 |
|
High-performance unsupervised anomaly detection for cyber-physical system networks |
| |
|
Deep Reinforcement Fuzzing |
| 2017 |
|
Guiding a colony of black-box fuzzers with chemotaxis |
| |
|
Stack overflow considered harmful? The impact of copy&paste on Android application security |
| 2016 |
|
Fuzzing binaries with Lévy flight swarms |
| |
|
DeepFuzz: Triggering vulnerabilities deeply hidden in binaries |
| |
|
Detecting and correlating supranational threats for critical infrastructures |
| |
|
Hunting bugs with Lévy flight foraging |
| 2015 |
|
Detecting Fingerprinted Data in TLS Traffic |
| 2012 |
|
A Secure Architecture for Smart Meter Systems |
