Suha Sabi Hussain
- FLAWED’s Flaws and What This Means for Industry Research —
- ↗ How Harvey Secures Embeddings at Scale (Harvey) —
- ↗ Weaponizing Image Scaling Against Production AI Systems (Trail of Bits) —
- ↗ Hijacking Multi-agent Systems in Your PajaMAS (Trail of Bits) —
- ↗ Incubated ML Exploits: Backdooring ML Pipelines Using Input-Handling Bugs (Trail of Bits & Georgia Tech) —
- ↗ Sleepy Pickle: Hybrid ML Exploit Chaining Pickle Insecurity and Model Backdoors (Trail of Bits) —
- ↗ Design Review of the 6079 Proof-of-Inference Protocol (Trail of Bits) —
- ↗ Relishing New Fickling Features for Securing ML Systems (Trail of Bits) —
- ↗ Assessing the Security Posture of a Widely Used Vision Model: YOLOv7 (Trail of Bits) —
- ↗ Safetensors Security Assessment (Trail of Bits) —
- ↗ Secure Your Machine Learning with Semgrep (Trail of Bits) —
- ↗ Never a Dill Moment: Exploiting Machine Learning Pickle Files (Trail of Bits) —
- ↗ PrivacyRaven Has Left the Nest (Trail of Bits) —
- The Before Times (NYU CCS & QHSS) —