Search Results for author:
Found 7 papers, 4 papers with code
Exploiting Unfair Advantages: Investigating Opportunistic Trading in the NFT Market
Yet, there are sophisticated actors who turn their domain knowledge and market inefficiencies to their strategic advantage; thus extracting value from trades not accessible to others.
Invisible Image Watermarks Are Provably Removable Using Generative AI
However, if we do not require the watermarked image to look the same as the original one, watermarks that keep the image semantically similar can be an alternative defense against our attack.
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
To achieve this, prior attacks explicitly inject the insecure code payload into the training data, making the poison data detectable by static analysis tools that can remove such malicious data from the training set.
VenoMave: Targeted Poisoning Against Speech Recognition
In a more realistic scenario, when the target audio waveform is played over the air in different rooms, VENOMAVE maintains a success rate of up to 73. 3%.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability
Our attack, Bullseye Polytope, improves the attack success rate of the current state-of-the-art by 26. 75% in end-to-end transfer learning, while increasing attack speed by a factor of 12.
Detecting Deceptive Reviews using Generative Adversarial Networks
These results indicate that GANs can be effective for text classification tasks.
Detection and Analysis of Drive-by-Download Attacks and Malicious JavaScript Code
Our approach combines anomaly detection with emulation to automatically identify malicious Java- Script code and to support its analysis.
